Relevant bibliographies by topics / Speech recognition threshold

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Academic literature on the topic 'Speech recognition threshold'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Speech recognition threshold"

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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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Dissertations / Theses on the topic "Speech recognition threshold"

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Hanson, Claire. "Development of Speech Recognition Threshold and Word Recognition Materials for Native Vietnamese Speakers." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4330.

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Despite the documented need for reliable speech audiometry materials for measures such as speech recognition threshold and word recognition score, such recorded materials are not available in the Vietnamese language. The purpose of this study was to develop, digitally record, evaluate, and psychometrically equate a set of Vietnamese bisyllabic and monosyllabic word lists for use in the measurement of speech recognition and word recognition ability, respectively. To create the speech recognition threshold materials, common Vietnamese bisyllabic words were digitally recorded by male and female t
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Hart, Lauren Alexandra. "Development of Thai Speech Audiometry Materials for Measuring Speech Recognition Thresholds." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2546.pdf.

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Jacobs, Alyssa Montierth. "Test-Retest Reliability in the Determination of the Speech Recognition Threshold." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3160.

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For many years, speech recognition threshold (SRT) testing has been used as an indicator of audiologic health. However, with changing methods and technology, test-retest reliability has not been reviewed extensively with newer digitally recorded spondaic words which meet a published criterion of listener familiarity. This study examined the test-retest reliability of 33 high frequency usage and psychometrically equated spondaic words. The American Speech-Language-Hearing Association recommended method (2-dB decrements) was used to measure the left and right SRT of 40 participants using both ma
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Anderson, Melissa Dawn. "Development of Psychometrically Equivalent Speech Recognition Threshold Materials for Native Cebuano Speakers." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6154.

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While there is a clear and immediate need for reliable speech audiometry materials to evaluate the speech recognition threshold (SRT), these recorded materials are not available in Cebuano, a language of the Philippines with 15.8 million speakers. The purpose of this study was to develop, digitally record, evaluate, and psychometrically equate a set of Cebuano trisyllabic words for use in measuring the SRT. To create the SRT materials, common Cebuano trisyllabic words were digitally recorded by a male talker of Cebuano and presented for evaluation to 20 native speakers of Cebuano with normal
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Bunker, Lisa Dawn. "Development of Tongan Materials for Determining Speech Recognition Thresholds." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2419.pdf.

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Newman, Jennifer Lane. "Development of Psychometrically Equivalent Speech Recognition Threshold Materials for Native Speakers of Samoan." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2214.

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The speech recognition threshold (SRT) is an important measure, as it validates the pure-tone average (PTA), assists in the diagnosis and prognosis of hearing impairments, and aids in the identification of non-organic hearing impairments. Research has shown that in order for SRT testing to yield valid and reliable measures, testing needs to be performed in the patient's native language. There are currently no published materials for SRT testing in the Samoan language. As a result, audiologists are testing patients with English materials or other materials not of the patient's native language.
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Richardson, Nathan Edward. "The Effect of Non-native Dialect on Speech Recognition Threshold for Native Mandarin Speakers." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1333.

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Speech recognition thresholds are used for several clinical purposes, so it is important that they be accurate reflections of hearing ability. Variations in the acoustic signal may artificially decrease threshold scores, and such variations can result from being tested in a second dialect. Thirty-two native Mandarin-speaking subjects (sixteen from mainland China and sixteen from Taiwan) participated in speech recognition threshold testing in both dialects to see whether using non-native dialect test materials resulted in a significantly lower score. In addition, tests were scored by two interp
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Graham, Jessica Lee. "Psychometrically Equivalent Trisyllabic Words for Testing Spanish Pediatric Speech Recognition Thresholds." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/5864.

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The purpose of this study was to use previously recorded Spanish trisyllabic words tested on adults in the measurement of the speech recognition threshold of Spanish-speaking children in order to (a) determine the words' appropriateness when testing children and (b) compare psychometric functions between adults and children. A selection of 28 frequently used trisyllabic words was chosen from previously recorded samples of male and female adult native speakers of Spanish. These words were then presented to 20 native Spanish-speaking children with normal hearing between the ages of 4 and 8 years
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Taylor, Brandon Brian. "Development of Psychometrically Equivalent Speech Audiometry Materials for Measuring Speech Recognition Thresholds in Native Tagalog Speakers." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3348.

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In addition to the use of pure-tones for testing hearing, speech signals are highly valuable diagnostic tools for identifying and evaluating hearing impairment. Speech audiometry involves the implementation of such signals in the measurement of hearing acuity. One aspect of speech audiometry involves assessment of the speech recognition threshold (SRT) which evaluates an individual's ability to hear and understand speech. While live speech has been used in the past to assess SRT, recorded materials are preferred and have been shown to be advantageous over live speech. High-quality digitally re
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Wolmarans, Jenique. "Maturation of speech-in-noise performance in children using binaural diotic and antiphasic digits-in-noise testing." Diss., University of Pretoria, 2019. http://hdl.handle.net/2263/75902.

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Digits-in-noise (DIN) tests have become very popular over the past 15 years for hearing loss detection. Several recent studies have highlighted the potential utility of digits-in-noise (DIN) as a school-aged hearing test. However, age may influence test performance in children. In addition, a new antiphasic stimulus paradigm has been introduced. This study determined the maturation of speech recognition for diotic and antiphasic DIN in children and evaluated DIN self-testing in young children. A cross-sectional, quantitative, quasi-experimental research design was used in this study. Partici
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Book chapters on the topic "Speech recognition threshold"

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Kuratomo, Noko, Tadashi Ebihara, Naoto Wakatsuki, Koichi Mizutani, and Keiichi Zempo. "How Much is the Noise Level be Reduced? – Speech Recognition Threshold in Noise Environments Using a Parametric Speaker –." In Human-Computer Interaction – INTERACT 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85616-8_31.

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Smith, Ronnie W., and D. Richard Hipp. "Achieving Spoken Communication with Computers." In Spoken Natural Language Dialog Systems. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195091878.003.0003.

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The most sophisticated and efficient means of communication between humans is spoken natural language (NL). It is a rare circumstance when two people choose to communicate via another means when spoken natural language is possible. Ochsman and Chapanis [OC74] conducted a study involving two person teams solving various problems using restricted means of communication such as typewriting and video, typewriting only, handwriting and video, voice and video, voice only, etc. Their conclusion included the following statement. . . . The single most important decision in the design of a telecommunications link should center around the inclusion of a voice channel. In the solution of factual real-world problems, little else seems to make a demonstrable difference . . . Thus, it would seem desirable to develop computer systems that can also communicate with humans via spoken natural language dialog. Furthermore, recent reports from the research community in speech recognition [Adv93] indicate that accuracy levels in speaker-independent continuous speech recognition have reached a threshold where practical applications of spoken natural language are viable. This book addresses the dialog issues that must be resolved in building effective spoken natural language dialog systems—systems where both the human and computer interact via spoken natural language. We present an architecture for dialog processing for which an implementation in the equipment repair domain has been constructed that exhibits a number of behaviors required for efficient human-machine dialog. These behaviors include the following. • Problem solving to achieve a target goal. • The ability to carry out subdialogs to achieve appropriate subgoals and to pass control arbitrarily from one subdialog to another. • The use of a user model to enable useful verbal exchanges and to inhibit unnecessary ones. • The ability to use context dependent expectations to correct speech recognition and track user movement to new subdialogs. • The ability to vary the task/dialog initiative from strongly computer controlled to strongly user controlled or somewhere in between.
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Wu, QingE, and Weidong Yang. "A Texture Segmentation Algorithm and Its Application to Target Recognition." In Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1884-6.ch003.

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Image segmentation is an important research direction in pattern recognition and image understanding, but existing texture segmentation algorithms cannot take full advantage of some texture information of texture image, such as the direction, width, density of ridge line, and so on, and can also not effectively carry out the segmentation of various texture image quality. In order to efficiently implement the texture image segmentation, strengthen the amassing of region segmentation, improve the accuracy of segmentation, achieve more accurate target recognition, this paper defines the direction of the texture, calculates the width of ridge line, gives the distance characteristics between textures, and establishes the mathematical model of the texture border, accordingly presents a new texture segmentation algorithm and compares with other texture segmentation algorithms. The simulation results show that the segmentation algorithm has some advantages to texture segmentation, such as has higher segmentation precision, faster segmentation speed, stronger anti-noise capability, less lost information of target, and so on. The segmented regions hardly contain other texture regions and background region. Moreover, this paper extracts the characteristic points and characteristic parameters in various segmented regions for texture image to obtain the characteristic vector, compares the characteristic vector with the standard template vectors, and identifies the type of target in a range of threshold value. Experimental results show that the proposed target recognition approach has higher recognition rate, faster recognition speed, and stronger anti-noise characteristics than the existing target recognition approaches.
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Conference papers on the topic "Speech recognition threshold"

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Liu, Xuefei, and Linlin Lu. "A Weighting Threshold Optimization Method in Speech Recognition." In 2009 Asia-Pacific Conference on Information Processing, APCIP. IEEE, 2009. http://dx.doi.org/10.1109/apcip.2009.213.

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Hidayat, Risanuri, and Anggun Winursito. "Analysis of Amplitude Threshold on Speech Recognition System." In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic). IEEE, 2020. http://dx.doi.org/10.1109/isemantic50169.2020.9234214.

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Liu, Xuefei. "A New Wavelet Threshold Denoising Algorithm in Speech Recognition." In 2009 Asia-Pacific Conference on Information Processing, APCIP. IEEE, 2009. http://dx.doi.org/10.1109/apcip.2009.212.

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Tuan Van Pham, Gernot Kubin, and Erhard Rank. "Robust speech recognition using adaptive noise threshold estimation and wavelet shrinkage." In 2008 Second International Conference on Communications and Electronics (ICCE). IEEE, 2008. http://dx.doi.org/10.1109/cce.2008.4578959.

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Cheng, Yen-chih, Jun-Shan Lin, and Jeih-weih Hung. "Leveraging threshold denoising on DCT-based modulation spectrum for noise robust speech recognition." In 2014 11th IEEE International Conference on Control & Automation (ICCA). IEEE, 2014. http://dx.doi.org/10.1109/icca.2014.6871133.

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Ding, Pei. "An Efficient Method of Flooring Threshold Calculation for Robust Speech Recognition Against Impulsive Noise." In 2006 8th international Conference on Signal Processing. IEEE, 2006. http://dx.doi.org/10.1109/icosp.2006.345529.

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Ábrego, Christopher E., Panos S. Shiakolas, and Michael R. Sobhy. "Developing an Educational and Research Human Robot Interaction Environment for a Mechanical Finger/Hand." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52305.

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Human robot interaction (HRI) has become a growing area of study due to the increasing application of robots in work environments and daily life and interact and work in tandem with human operators. This synergy between humans and robots have expanded human endeavors and motivated neoteric and prospective areas of robotics research. The objective of this research is to develop an environment where both researchers and students can experience and experiment with different interaction modes with a robotic finger and hand. The acquisition and the post processing of environmental data from the har
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Cavina, Nicolo`, Enrico Corti, and Luca Solieri. "A Heat Flux Damages-Related Index." In ASME 2006 Internal Combustion Engine Division Spring Technical Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ices2006-1425.

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Gasoline engines can be affected, under certain operating conditions, by excessive heat flux through the combustion chamber walls, which can result in serious engine damage. Specific power and efficiency are influenced by factors such as compression ratio and spark advance regulation, that modify the combustion development over the crank angle: the trade-off between performance and the risk of irreversible damages is still a key factor in the design of both high-performance (racing) and low-consumption engines. New generation detection systems, especially based on ionization current technology
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Mamman, Maharazu, and Zurina Mohd Hanapi. "An Efficient Dynamic Call Admission Control for 4G and 5G Networks." In 9th International Conference on Signal, Image Processing and Pattern Recognition (SPPR 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101905.

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The goal for improved wireless communication between interconnected objects in a network has been long anticipated. The present Long Term Evolution (LTE) fourth-generation (4G) network does not allow the variety of services for the future need, as the fifth-generation (5G) network is faster, efficient, reliable, and more flexible. The 5G network and call admission control (CAC) are best certainty that defines the elementary principles of the smart cities of the upcoming 5G network technology. It is predicted that substantial CAC in the smart cites environment where millions of wireless devices
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Liu, Yujia, Sifan Peng, Nan Gui, Xingtuan Yang, Jiyuan Tu, and Shengyao Jiang. "Experimental Study on Gravity Driven Discharging of Quasi-Two-Dimensional Pebble Bed Based on Mathematical Morphology." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16367.

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Abstract The pebbles flow is a fundamental issue for both academic investigation and engineering application in reactor core design and safety analysis. In general, experimental methods including spiral X-ray tomography and refractive index matched scanning technique (RIMS) are applied to obtain the identification of particles’ positions within a three-dimensional pebble bed. However, none of the above methods can perform global bed particles’ position identification in a dynamically discharging pebble bed, and the corresponding experimental equipment is difficult to access due to the complica
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