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Articles de revues sur le sujet « Speech recognition threshold »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 1 février 2022

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1

Van Tasell, Dianne J., and Jeilry L. Yanz. "Speech Recognition Threshold in Noise." Journal of Speech, Language, and Hearing Research 30, no. 3 (1987): 377–86. http://dx.doi.org/10.1044/jshr.3003.377.

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Speech recognition threshold (SRT) was measured in quiet and in noise for normal-hearing subjects and subjects with high-frequency sensorineural hearing loss. For the hearing-impaired subjects, SRT in quiet approximated the amount of hearing loss in the frequency region of importance for each of two sets of speech materials—spondees and monosyllables. With changes in frequency response of the stimulus delivery system, SRT shifted differentially for spondees and monosyllables. The speed, reliability, and apparent sensitivity of the SRT in quiet and noise to frequency response characteristics ma

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Coren, Stanley, and A. Ralph Hakstian. "Predicting Speech Recognition Thresholds from Pure Tone Hearing Thresholds." Perceptual and Motor Skills 79, no. 2 (1994): 1003–8. http://dx.doi.org/10.2466/pms.1994.79.2.1003.

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Hearing sensitivity is most commonly still reported in terms of pure tone thresholds. Unfortunately, simple procedures for predicting Speech Recognition Thresholds from Pure Tone Thresholds are not currently available. To remedy this problem, pure tone thresholds were collected from 802 individuals over the range of 250 to 8000 Hz. Five subsets of pure tone thresholds which are commonly used to report hearing status were then considered. An average correlation of 0.878 was found between the various pure tone indexes and the speech recognition threshold. Using regressions between pure tone and

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Zhang, Yi, Xiao Song Li, and Yang Song. "A Recognition Judgment Method of Isolated-Word Speech-Recognition." Applied Mechanics and Materials 543-547 (March 2014): 2337–40. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2337.

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Isolated-word speech-recognition system adopted the shortest distance of Dynamic Time Warping (DTW) to make recognition judgment, which has the disadvantage of high False Accept Rate (FAR), poor anti-noise and robustness. This paper proposes a new method based on DTW distance Threshold Estimation for recognition judgment. This method processes the maximum distance between template speech and training input speech multiplying adjusting coefficient, then plus noise DTW distance, which regard the final result as distance Threshold Estimation. At the time of doing speech recognition, if the distan

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Mendel, Lisa Lucks, Monique Pousson, Johnnie K. Bass, Rachel E. Lunsford, and Caleb McNiece. "Spanish Pediatric Speech Recognition Threshold Test." American Journal of Audiology 28, no. 3 (2019): 597–604. http://dx.doi.org/10.1044/2019_aja-18-0132.

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Purpose The purpose of this study was to construct a recorded speech recognition threshold (SRT) test for Spanish-speaking children utilizing a picture board and a picture-pointing task. Design The Spanish Pediatric Speech Recognition Threshold (SPSRT) test was developed and validated in this study. Test construction steps included (a) stimulus selection, (b) assessment of familiarity, (c) digital recording, (d) creation of pictures that accurately depicted the target word from the stimulus set, and (e) validation of the test and recordings. SRTs were obtained from 24 Spanish-speaking children

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Vermiglio, Andrew J., Sigfrid D. Soli, Daniel J. Freed, and Laurel M. Fisher. "The Relationship between High-Frequency Pure-Tone Hearing Loss, Hearing in Noise Test (HINT) Thresholds, and the Articulation Index." Journal of the American Academy of Audiology 23, no. 10 (2012): 779–88. http://dx.doi.org/10.3766/jaaa.23.10.4.

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Background: Speech recognition in noise testing has been conducted at least since the 1940s (Dickson et al, 1946). The ability to recognize speech in noise is a distinct function of the auditory system (Plomp, 1978). According to Kochkin (2002), difficulty recognizing speech in noise is the primary complaint of hearing aid users. However, speech recognition in noise testing has not found widespread use in the field of audiology (Mueller, 2003; Strom, 2003; Tannenbaum and Rosenfeld, 1996). The audiogram has been used as the “gold standard” for hearing ability. However, the audiogram is a poor i

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Letowski, Tomasz, Patti Hergenreder, and Houchin Tang. "Relationships Between Speech Recognition Threshold, Average Hearing Level, and Speech Importance Noise Detection Threshold." Journal of Speech, Language, and Hearing Research 35, no. 5 (1992): 1131–36. http://dx.doi.org/10.1044/jshr.3505.1131.

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Parkin, James L., Donald K. Eddington, Jeffrey L. Orth, and Derald E. Brackmann. "Speech Recognition Experience with Multichannel Cochlear Implants." Otolaryngology–Head and Neck Surgery 93, no. 5 (1985): 639–45. http://dx.doi.org/10.1177/019459988509300513.

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Four patients received multichannel intracochlear implants before 1978 as part of the University of Utah program. By 1983, sound coding strategies and electronic miniaturization were developed to allow production and use of a portable sound processor/cochlear stimulator unit. Approval for expanded clinical trials has allowed Implantation of five additional patients by August 1984. Data on the earlier patients demonstrate stability of electrode thresholds and impedance, low risk of the percutaneous pedestal, and the development of speech recognition scores of greater than 60% with electrical st

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Crain, Thomas R., and Dianne J. Van Tasell. "Effect of Peak Clipping on Speech Recognition Threshold." Ear and Hearing 15, no. 6 (1994): 443–53. http://dx.doi.org/10.1097/00003446-199412000-00005.

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Halling, Dan C., and Larry E. Humes. "Factors Affecting the Recognition of Reverberant Speech by Elderly Listeners." Journal of Speech, Language, and Hearing Research 43, no. 2 (2000): 414–31. http://dx.doi.org/10.1044/jslhr.4302.414.

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Elderly listeners have been shown to experience greater difficulty with speech understanding than young listeners. The greater difficulty with speech understanding in elderly listeners has been attributed, primarily, to their typical high-frequency sensorineural hearing impairment. However, not all of the observed difficulty can be accounted for by hearing thresholds, leaving the likelihood of additional suprathreshold processing deficits. This study investigates speech understanding in older people and the relative contributions of hearing threshold and age to speech understanding. Considerin

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Chen, Zhuo. "Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method." Advances in Mathematical Physics 2021 (September 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/6811192.

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The signal corresponding to English speech contains a lot of redundant information and environmental interference information, which will produce a lot of distortion in the process of English speech translation signal recognition. Based on this, a large number of studies focus on encoding and processing English speech, so as to achieve high-precision speech recognition. The traditional wavelet denoising algorithm plays an obvious role in the recognition of English speech translation signals, which mainly depends on the excellent local time-frequency domain characteristics of the wavelet signal

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Li, Bei, Yang Guo, Guang Yang, Yanmei Feng, and Shankai Yin. "Effects of Various Extents of High-Frequency Hearing Loss on Speech Recognition and Gap Detection at Low Frequencies in Patients with Sensorineural Hearing Loss." Neural Plasticity 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/8941537.

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This study explored whether the time-compressed speech perception varied with the degree of hearing loss in high-frequency sensorineural hearing loss (HF SNHL) individuals. 65 HF SNHL individuals with different cutoff frequencies were recruited and further divided into mildly, moderately, and/or severely affected subgroups in terms of the averaged thresholds of all frequencies exhibiting hearing loss. Time-compressed speech recognition scores under both quiet and noisy conditions and gap detection thresholds within low frequencies that had normal thresholds were obtained from all patients and

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Gowda, Vanajakshi Puttaswamy, Mathivanan Murugavelu, and Senthil Kumaran Thangamuthu. "Continuous kannada speech segmentation and speech recognition based on threshold using MFCC And VQ." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4684. http://dx.doi.org/10.11591/ijece.v9i6.pp4684-4695.

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<p><span>Continuous speech segmentation and its recognition is playing important role in natural language processing. Continuous context based Kannada speech segmentation depends on context, grammer and semantics rules present in the kannada language. The significant feature extraction of kannada speech signal for recognition system is quite exciting for researchers. In this paper proposed method is divided into two parts. First part of the method is continuous kannada speech signal segmentation with respect to the context based is carried out by computing average short term energy

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Nuesse, Theresa, Bianca Wiercinski, Thomas Brand, and Inga Holube. "Measuring Speech Recognition With a Matrix Test Using Synthetic Speech." Trends in Hearing 23 (January 2019): 233121651986298. http://dx.doi.org/10.1177/2331216519862982.

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Speech audiometry is an essential part of audiological diagnostics and clinical measurements. Development times of speech recognition tests are rather long, depending on the size of speech corpus and optimization necessity. The aim of this study was to examine whether this development effort could be reduced by using synthetic speech in speech audiometry, especially in a matrix test for speech recognition. For this purpose, the speech material of the German matrix test was replicated using a preselected commercial system to generate the synthetic speech files. In contrast to the conventional m

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Fogerty, Daniel, Rachel Madorskiy, Jayne B. Ahlstrom, and Judy R. Dubno. "Comparing Speech Recognition for Listeners With Normal and Impaired Hearing: Simulations for Controlling Differences in Speech Levels and Spectral Shape." Journal of Speech, Language, and Hearing Research 63, no. 12 (2020): 4289–99. http://dx.doi.org/10.1044/2020_jslhr-20-00246.

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Purpose This study investigated methods used to simulate factors associated with reduced audibility, increased speech levels, and spectral shaping for aided older adults with hearing loss. Simulations provided to younger normal-hearing adults were used to investigate the effect of sensation level, speech presentation level, and spectral shape in comparison to older adults with hearing loss. Method Measures were assessed in quiet, steady-state noise, and speech-modulated noise. Older adults with hearing loss listened to speech that was spectrally shaped according to their hearing thresholds. Yo

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Vermiglio, Andrew J., Sigfrid D. Soli, and Xiangming Fang. "An Argument for Self-Report as a Reference Standard in Audiology." Journal of the American Academy of Audiology 29, no. 03 (2018): 206–22. http://dx.doi.org/10.3766/jaaa.16128.

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AbstractThe primary components of a diagnostic accuracy study are an index test, the target condition (or disorder), and a reference standard. According to the Standards for Reporting Diagnostic Accuracy statement, the reference standard should be the best method available to independently determine if the results of an index test are correct. Pure-tone thresholds have been used as the “gold standard” for the validation of some tests used in audiology. Many studies, however, have shown a lack of agreement between the audiogram and the patient’s perception of hearing ability. For example, patie

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Shen, Jing, and Pamela E. Souza. "Do Older Listeners With Hearing Loss Benefit From Dynamic Pitch for Speech Recognition in Noise?" American Journal of Audiology 26, no. 3S (2017): 462–66. http://dx.doi.org/10.1044/2017_aja-16-0137.

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Purpose Dynamic pitch, the variation in the fundamental frequency of speech, aids older listeners' speech perception in noise. It is unclear, however, whether some older listeners with hearing loss benefit from strengthened dynamic pitch cues for recognizing speech in certain noise scenarios and how this relative benefit may be associated with individual factors. We first examined older individuals' relative benefit between natural and strong dynamic pitches for better speech recognition in noise. Further, we reported the individual factors of the 2 groups of listeners who benefit differently

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Videhult Pierre, Pernilla, Martin Eklöf, Henrik Smeds, and Filip Asp. "Cochlear Implantation with the CI512 and CI532 Precurved Electrode Arrays: One-Year Speech Recognition and Intraoperative Thresholds of Electrically Evoked Compound Action Potentials." Audiology and Neurotology 24, no. 6 (2019): 299–308. http://dx.doi.org/10.1159/000504592.

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Introduction: Precurved cochlear implant (CI) electrode arrays were developed in an attempt to improve the auditory outcome of cochlear implantation, which varies greatly. The recent CI532 (Cochlear Corp., Sydney, Australia) may offer further advantages as its electrode array is thinner than previous precurved CI electrode arrays. The aims here were to investigate 1-year postoperative speech recognition, intraoperative electrically evoked compound action potentials (ECAPs), and their possible relation in patients implanted with a CI532 or its predecessor CI512. Methods: A retrospective analysi

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Humes, Larry E., and Lisa Roberts. "Speech-Recognition Difficulties of the Hearing-Impaired Elderly." Journal of Speech, Language, and Hearing Research 33, no. 4 (1990): 726–35. http://dx.doi.org/10.1044/jshr.3304.726.

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The role that sensorineural hearing loss plays in the speech-recognition difficulties of the hearing-impaired elderly is examined. One approach to this issue was to make between-group comparisons of performance for three groups of subjects: (a) young normal-hearing adults; (b) elderly hearing-impaired adults; and (c) young normal-hearing adults with simulated sensorineural hearing loss equivalent to that of the elderly subjects produced by a spectrally shaped masking noise. Another approach to this issue employed correlational analyses to examine the relation between audibility and speech reco

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배인호, Soon-Bok Kwon, 김진동, Geun-Hyo Kim, and 박희준. "Development of a Speech Recognition Threshold Application Using Voice Recognition Technology: Pilot Study." Journal of speech-language & hearing disorders 24, no. 4 (2015): 103–12. http://dx.doi.org/10.15724/jslhd.2015.24.4.010.

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Caroline, Lebel, and Picard Michel. "How children recognize spoken words in speech recognition threshold assessment." Journal of the Acoustical Society of America 105, no. 2 (1999): 1192. http://dx.doi.org/10.1121/1.425620.

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Onoue, Solange Satie, Karin Zazo Ortiz, Thaís Soares Cianciarullo Minett, and Alda Christina Lopes de Carvalho Borges. "Audiological findings in aphasic patients after stroke." Einstein (São Paulo) 12, no. 4 (2014): 433–39. http://dx.doi.org/10.1590/s1679-45082014ao3119.

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Objective To outline the audiological findings of aphasic patients after cerebrovascular accidents.Methods This is a cross-sectional study performed between March 2011 and August 2012 in the Speech, Language, and Hearing Pathology Department of theUniversidade Federal de São Paulo. A total of 43 aphasic subjects (27 men) were referred for audiological evaluation after stroke, with mean age of 54.48 years. Basic audiological evaluation tests were performed, including pure tone audiometry, speech audiometry (speech recognition threshold and word recognition score), immittance measures (tympanome

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Dubno, Judy R. "Speech Recognition Across the Life Span: Longitudinal Changes From Middle-Age to Older Adults." American Journal of Audiology 24, no. 2 (2015): 84–87. http://dx.doi.org/10.1044/2015_aja-14-0052.

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Purpose The purpose of this article is to provide an overview of evidence of age-related declines in speech recognition in middle age to older adulthood; to review contributions of pure-tone thresholds, age, and gender; and to report preliminary results from a longitudinal study. Method Pure-tone thresholds and word recognition in quiet and babble are being measured in a large sample of adults yearly or every 2 to 3 years. Analyses included >16,000 audiograms and speech recognition scores from >1,200 adults whose ages ranged from the 40s to the 90s. A multivariable generalized linear rep

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Hicks, William T., and Robert E. Yantorno. "Determining the threshold for usable speech within co‐channel speech with the SPHINX automated speech recognition system." Journal of the Acoustical Society of America 116, no. 4 (2004): 2480. http://dx.doi.org/10.1121/1.4784905.

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Eckert, Mark A., Lois J. Matthews, and Judy R. Dubno. "Self-Assessed Hearing Handicap in Older Adults With Poorer-Than-Predicted Speech Recognition in Noise." Journal of Speech, Language, and Hearing Research 60, no. 1 (2017): 251–62. http://dx.doi.org/10.1044/2016_jslhr-h-16-0011.

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Purpose Even older adults with relatively mild hearing loss report hearing handicap, suggesting that hearing handicap is not completely explained by reduced speech audibility. Method We examined the extent to which self-assessed ratings of hearing handicap using the Hearing Handicap Inventory for the Elderly (HHIE; Ventry & Weinstein, 1982) were significantly associated with measures of speech recognition in noise that controlled for differences in speech audibility. Results One hundred sixty-two middle-aged and older adults had HHIE total scores that were significantly associated with aud

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Sabic, Edin, and Jing Chen. "Threshold of Spearcon Recognition for Auditory Menus." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 1539–43. http://dx.doi.org/10.1177/1541931213601353.

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The present study examined aspects of a type of auditory feedback that aims at making interactions with menus more efficient. Specifically, manipulations were made to the auditory counterparts of common computer commands and unrelated words to examine identification performance. By investigating the point at which sped-up versions of text-to-speech, spearcons, can be identified accurately as words, the boundaries at which the efficiency of spearcon use begins to decline can be better defined. Additionally, by examining the effect of category membership on speed and accuracy of spearcon identif

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Du, Haifan, and Haiwen Duan. "English Phrase Speech Recognition Based on Continuous Speech Recognition Algorithm and Word Tree Constraints." Complexity 2021 (May 25, 2021): 1–11. http://dx.doi.org/10.1155/2021/8482379.

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This paper combines domestic and international research results to analyze and study the difference between the attribute features of English phrase speech and noise to enhance the short-time energy, which is used to improve the threshold judgment sensitivity; noise addition to the discrepancy data set is used to enhance the recognition robustness. The backpropagation algorithm is improved to constrain the range of weight variation, avoid oscillation phenomenon, and shorten the training time. In the real English phrase sound recognition system, there are problems such as massive training data

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Harris, Richard W., David L. McPherson, Claire M. Hanson, and Dennis L. Eggett. "Psychometrically equivalent bisyllabic words for speech recognition threshold testing in Vietnamese." International Journal of Audiology 56, no. 8 (2017): 525–37. http://dx.doi.org/10.1080/14992027.2017.1303202.

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Song, Taeyup, Kyungsun Lee, Sung Soo Kim, Jae-Won Lee, and Hanseok Ko. "Visual Voice Activity Detection and Adaptive Threshold Estimation for Speech Recognition." Journal of the Acoustical Society of Korea 34, no. 4 (2015): 321–27. http://dx.doi.org/10.7776/ask.2015.34.4.321.

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Pfingst, Bryan E., Li Xu, and Catherine S. Thompson. "Across-Site Threshold Variation in Cochlear Implants: Relation to Speech Recognition." Audiology and Neuro-Otology 9, no. 6 (2004): 341–52. http://dx.doi.org/10.1159/000081283.

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Wang, Yong Qi, and Hui Zhang. "The Research of Speech Recognition in Low SNR Based on GA-SVM." Applied Mechanics and Materials 590 (June 2014): 727–31. http://dx.doi.org/10.4028/www.scientific.net/amm.590.727.

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To improve recognizing rate and recognizing efficiency, the algorithm of double-threshold is adopted in the endpoint detection, Mel-frequency Spectral Coefficients is obtained as speech characteristic parameters, the SVM parameters, penalty factor and kernel function parameter, were optimized with genetic algorithm, then, an speech recognition model was established with GA-SVM method. The improved algorithm was simulated by matlab, the experiment shows that this algorithm can achieved good results in isolated word speech recognition.

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Chen, Zi Qin, De Xiang Zhang, and Da Ling Yuan. "Speech Enhancement Based on EMD and Wavelet Threshold in Noisy Environments." Advanced Materials Research 989-994 (July 2014): 3654–57. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3654.

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Speech enhancement is crucial for speech recognition accuracy. How to eliminate the effect of the noise constitutes a challenging problem in speech processing. This paper presents a new technique for speech enhancement in a noisy environment based on the empirical mode decomposition (EMD) algorithm and wavelet threshold. With the EMD, the noise speech signals can be decomposed into a sum of the band-limited function called intrinsic mode functions (IMFs), which is a zero-mean AM-FM component. Then wavelet threshold of the IMF components can be used to eliminate the effect of the noise for spee

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Ramkissoon, Ishara, Adele Proctor, Charissa R. Lansing, and Robert C. Bilger. "Digit Speech Recognition Thresholds (SRT) for Non-Native Speakers of English." American Journal of Audiology 11, no. 1 (2002): 23–28. http://dx.doi.org/10.1044/1059-0889(2002/005).

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Although Central Institute for the Deaf (CID) W-1 stimuli are routinely used for speech recognition threshold (SRT) testing, they are not always familiar to new learners of English and often lead to erroneous assessments. To improve test accuracy, alternative stimuli were constructed by pairing familiar English digits. These digit pairs were used to measure SRT for 12 non-native speakers of English and 12 native speakers of English. Results indicate that digit pairs effectively measure SRT for both participant groups; and more importantly, for non-native speakers of English, digit pairs are mo

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HimaBindu, Gottumukkala, Gondi Lakshmeeswari, Giddaluru Lalitha, and Pedalanka P. S. Subhashini. "Recognition Using DNN with Bacterial Foraging Optimization Using MFCC Coefficients." Journal Européen des Systèmes Automatisés 54, no. 2 (2021): 283–87. http://dx.doi.org/10.18280/jesa.540210.

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Speech is an important mode of communication for people. For a long time, researchers have been working hard to develop conversational machines which will communicate with speech technology. Voice recognition is a part of a science called signal processing. Speech recognition is becoming more successful for providing user authentication. The process of user recognition is becoming more popular now a days for providing security by authenticating the users. With the rising importance of automated information processing and telecommunications, the usefulness of recognizing an individual from the

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Hsu, Wei Chih, Jung Nan Sun, and Huai I. Wang. "An Approach to Tone Recognition of Mandarin Speech Based-On Two-Stage Model." Applied Mechanics and Materials 145 (December 2011): 297–303. http://dx.doi.org/10.4028/www.scientific.net/amm.145.297.

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After inspecting the pitch contours of tone 1 of Mandarin speech, we found that the pitch contour of tone 1 consists of upward and downward line segments, while it is supposed that the contour of tone 1 is flat. Our study also found that tone 1 tends to be recognized as other three tones if the recognition algorithm used is based on the tone contour slope or shape. According to our experiments, we conclude that the recognition rate of the tones would be improved if two stage tone recognition scheme is conducted. At the first stage, tone one is recognized out and then the other three tones are

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Vermiglio, Andrew J., Sigfrid D. Soli, Daniel J. Freed, and Xiangming Fang. "The Effect of Stimulus Audibility on the Relationship between Pure-Tone Average and Speech Recognition in Noise Ability." Journal of the American Academy of Audiology 31, no. 03 (2020): 224–32. http://dx.doi.org/10.3766/jaaa.19031.

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AbstractThe literature presents conflicting reports on the relationship between pure-tone threshold average and speech recognition in noise ability.The purpose of this retrospective study and meta-analysis was to determine the effect of stimulus audibility on the relationship between speech recognition in noise ability and bilateral pure-tone average (BPTA).Pure-tone threshold and Hearing in Noise Test (HINT) data from two data sets were evaluated. The HINT data from both data sets were divided into groups with complete and partial audibility of the HINT stimuli delivered at 65 dBA.Normal and

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Schlauch, Robert S., Heekyung J. Han, Tzu-Ling J. Yu, and Edward Carney. "Pure-Tone–Spondee Threshold Relationships in Functional Hearing Loss: A Test of Loudness Contribution." Journal of Speech, Language, and Hearing Research 60, no. 1 (2017): 136–43. http://dx.doi.org/10.1044/2016_jslhr-h-15-0330.

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Purpose The purpose of this article is to examine explanations for pure-tone average–spondee threshold differences in functional hearing loss. Method Loudness magnitude estimation functions were obtained from 24 participants for pure tones (0.5 and 1.0 kHz), vowels, spondees, and speech-shaped noise as a function of level (20–90 dB SPL). Participants listened monaurally through earphones. Loudness predictions were obtained for the same stimuli by using a computational, dynamic loudness model. Results When evaluated at the same SPL, speech-shaped noise was judged louder than vowels/spondees, wh

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Blandy, Susan E., and Mark E. Lutman. "Hearing threshold levels and speech recognition in noise in 7-year-olds." International Journal of Audiology 44, no. 8 (2005): 435–43. http://dx.doi.org/10.1080/14992020500189203.

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Thibodeau, Linda M. "Comparison of speech recognition threshold in noise using laboratory and clinical procedures." Journal of the Acoustical Society of America 100, no. 4 (1996): 2827. http://dx.doi.org/10.1121/1.416655.

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Silverman, Carol A., Shlomo Silman, Michele B. Emmer, Janet R. Schoepflin, and John J. Lutolf. "Auditory Deprivation in Adults with Asymmetric, Sensorineural Hearing Impairment." Journal of the American Academy of Audiology 17, no. 10 (2006): 747–62. http://dx.doi.org/10.3766/jaaa.17.10.6.

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The purpose of this investigation was to prospectively examine performance on the pure-tone air-conduction threshold, speech-recognition threshold, and suprathreshold word-recognition tests over time in 21 monaurally aided (experimental group) and 28 unaided adults (control group) with asymmetric, sensorineural hearing impairment.The results revealed significant declines on the mean suprathreshold word-recognition scores over time at one and two years post-baseline for the worse ears of the control participants; no declines occurred in the worse ears of the experimental participants or in the

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Studebaker, Gerald A., Rebecca Taylor, and Robert L. Sherbecoe. "The Effect of Noise Spectrum on Speech Recognition Performance-Intensity Functions." Journal of Speech, Language, and Hearing Research 37, no. 2 (1994): 439–48. http://dx.doi.org/10.1044/jshr.3702.439.

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Articulation theory predicts that a subject’s absolute or masked threshold configuration will affect the slope of the speech recognition performance-intensity (P-I) function. This study was carried out to test that prediction. Performance-intensity functions for the Technisonic Studios W-22 recordings were obtained from 12 subjects with normal hearing. Four continuous thermal noise maskers, high-pass (HP) noise, white noise, ANSI noise, and talker-spectrum-matched (TSM) noise, were used to shape threshold. P-I function slopes for the averaged data ranged from about 1.6%o/dB in HP noise to abou

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Heeke, Paige, Andrew J. Vermiglio, Emery Bulla, Keerthana Velappan, and Xiangming Fang. "The Relationship between Random Gap Detection and Hearing in Noise Test Performances." Journal of the American Academy of Audiology 29, no. 10 (2018): 948–54. http://dx.doi.org/10.3766/jaaa.18005.

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AbstractTemporal acoustic cues are particularly important for speech understanding, and past research has inferred a relationship between temporal resolution and speech recognition in noise ability. A temporal resolution disorder is thought to affect speech understanding abilities because persons would not be able to accurately encode these frequency transitions, creating speech discrimination errors even in the presence of normal pure-tone hearing.The primary purpose was to investigate the relationship between temporal resolution as measured by the Random Gap Detection Test (RGDT) and speech

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Holden, Laura K., Margaret W. Skinner, Timothy A. Holden, and Susan M. Binzer. "Comparison of the Multipeak and Spectral Peak Speech Coding Strategies of the Nucleus TM 22-Channel Cochlear Implant System." American Journal of Audiology 4, no. 3 (1995): 49–54. http://dx.doi.org/10.1044/1059-0889.0403.49.

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Eight subjects participated in a comparison of the multipeak (MPEAK) and spectral peak (SPEAK) speech coding strategies of the Nucleus TM 22-channel cochlear implant system as part of a long-term monitoring study. Sound-field threshold levels and speech recognition performance on the Bamford-Kowal-Bench Sentence Test, NU-6 Monosyllabic Word Test, and Connected Speech Test or CID Everyday Sentence Test were analyzed for the two speech coding strategies. For the group, speech recognition performance was significantly higher with the SPEAK speech coding strategy than with the MPEAK strategy on al

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Heribanová, Petra, Jaroslav Polec, Ján Poctavek, and Angela Mordelová. "Intelligibility Threshold for Cued Speech in H.264 Video Conference." International Journal of Electronics and Telecommunications 57, no. 3 (2011): 383–87. http://dx.doi.org/10.2478/v10177-011-0052-5.

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Intelligibility Threshold for Cued Speech in H.264 Video Conference This paper discusses the cued speech recognition methods in videoconference. Cued speech is a specific gesture language that is used for communication between deaf people. We define the criteria for sentence intelligibility according to answers of testing subjects (deaf people). In our tests we use 30 sample videos coded by H.264 codec with various bit-rates and various speed of cued speech. Additionally, we define the criteria for consonant sign recognizability in single-handed finger alphabet (dactyl) analogically to acousti

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Xing, Hong Yan, Cui Hua Yu, and Peng Li. "Research on Pitch Extraction Algorithm of Noisy Speech." Advanced Materials Research 433-440 (January 2012): 4675–78. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4675.

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Pitch detection in noisy environment plays an important role in speech analyzing and recognition. In the light of the properties of Hilbert-Huang transform and the EMD soft-threshold de-noising method, an effective pitch detection method for noisy speech signal is proposed in this paper. Firstly, the EMD soft-threshold de-noising method is applied to realize the background noise reduction, secondly, using the Hilbert-Huang transform to detect the pitch period of the de-noising speech signal. The analysis proposed in this paper show that, compared with the conventional methods of the pitch dete

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Vermiglio, Andrew J., Caroline C. Herring, Paige Heeke, Courtney E. Post, and Xiangming Fang. "Sentence Recognition in Steady-State Speech-Shaped Noise versus Four-Talker Babble." Journal of the American Academy of Audiology 30, no. 01 (2019): 054–65. http://dx.doi.org/10.3766/jaaa.17083.

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AbstractSpeech recognition in noise (SRN) evaluations reveal information about listening ability that is unavailable from pure-tone thresholds. Unfortunately, SRN evaluations are not commonly used in the clinic. A lack of standardization may be an explanation for the lack of widespread acceptance of SRN testing. Arguments have been made for the utilization of steady-state speech-shaped noise vs. multi-talker babble. Previous investigations into the effect of masker type have used a monaural presentation of the stimuli. However, results of monaural SRN tests cannot be generalized to binaural li

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Porter, Heather L., Emily R. Spitzer, Emily Buss, Lori J. Leibold, and John H. Grose. "Forward and Backward Masking of Consonants in School-Age Children and Adults." Journal of Speech, Language, and Hearing Research 61, no. 7 (2018): 1807–14. http://dx.doi.org/10.1044/2018_jslhr-h-17-0403.

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Purpose This experiment sought to determine whether children's increased susceptibility to nonsimultaneous masking, particularly backward masking, is evident for speech stimuli. Method Five- to 9-year-olds and adults with normal hearing heard nonsense consonant–vowel–consonant targets. In Experiments 1 and 2, those targets were presented between two 250-ms segments of 70-dB-SPL speech-shaped noise, at either −30 dB signal-to-noise ratio (Experiment 1) or at the listener's word recognition threshold (Experiment 2). In Experiment 3, the target was presented in steady speech-shaped noise at liste

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Kocinski, Jedrzej, and Edward Ozimek. "Logatome and Sentence Recognition Related to Acoustic Parameters of Enclosures." Archives of Acoustics 42, no. 3 (2017): 385–94. http://dx.doi.org/10.1515/aoa-2017-0040.

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AbstractThe paper deals with relationship between speech recognition and objective parameters of enclosures. Six enclosures were chosen: a church, an assembly hall of a music school, two courtrooms of different volumes, a typical auditorium and a university concert hall. Dirac 4.1 software was used to record impulse responses (IRs) in the chosen measurement points of each enclosure. On this base, the following objective parameters of the enclosure were determined: Reverberation Time (RT), Early Decay Time (EDT), Weighted Clarity (C50) and Speech Transmission Index (STI). A convolution of the I

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Stollman, Martin H. P., and Theo S. Kapteyn. "Effect of Time Scale Modification of Speech on the Speech Recognition Threshold in Noise for Elderly Listeners." International Journal of Audiology 33, no. 5 (1994): 280–90. http://dx.doi.org/10.3109/00206099409071888.

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Rathna Kumar, S. B., Madhu Sudharshan Reddy. B, and Sale Kranthi. "Development of word lists in Telugu for assessing speech recognition threshold: alternative forms to existing word lists." International Journal of Otorhinolaryngology and Head and Neck Surgery 2, no. 3 (2016): 147. http://dx.doi.org/10.18203/issn.2454-5929.ijohns20162181.

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<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">The present study aimed to develop word lists in Telugu for assessing speech recognition threshold which might serve as equivalent and alternative forms to the existing word lists. </span></p><p class="abstract"><strong>Methods:</strong> <span lang="EN-IN">A total of two word lists were developed using compound words with each list consisting of 25 words. Equivalence analysis and performance-intensity function testing was carried out using two word lists on a total of

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Manju, Venugopal, Kizhakke Kodiyath Gopika, and Pitchai Muthu Arivudai Nambi. "Association of Auditory Steady State Responses with Perception of Temporal Modulations and Speech in Noise." ISRN Otolaryngology 2014 (April 14, 2014): 1–8. http://dx.doi.org/10.1155/2014/374035.

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Amplitude modulations in the speech convey important acoustic information for speech perception. Auditory steady state response (ASSR) is thought to be physiological correlate of amplitude modulation perception. Limited research is available exploring association between ASSR and modulation detection ability as well as speech perception. Correlation of modulation detection thresholds (MDT) and speech perception in noise with ASSR was investigated in twofold experiments. 30 normal hearing individuals and 11 normal hearing individuals within age range of 18–24 years participated in experiments 1

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