Relevant bibliographies by topics / Kepstrum

Academic literature on the topic 'Kepstrum'

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

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Journal articles on the topic "Kepstrum":

1

BARRETT, J. F., and T. J. MOIR. "The kepstrum method for spectral analysis†." International Journal of Control 43, no. 1 (January 1986): 29–57. http://dx.doi.org/10.1080/00207178608933447.

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Jeong, J., and T. J. Moir. "A real-time kepstrum approach to speech enhancement and noise cancellation." Neurocomputing 71, no. 13-15 (August 2008): 2635–49. http://dx.doi.org/10.1016/j.neucom.2007.09.026.

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Moir, T. J., and J. F. Barrett. "A kepstrum approach to filtering, smoothing and prediction with application to speech enhancement." Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 459, no. 2040 (December 8, 2003): 2957–76. http://dx.doi.org/10.1098/rspa.2003.1137.

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4

Jeong, Jinsoo. "An Innovations-Based Noise Cancelling Technique on Inverse Kepstrum Whitening Filter and Adaptive FIR Filter in Beamforming Structure." Sensors 11, no. 7 (June 29, 2011): 6816–41. http://dx.doi.org/10.3390/s110706816.

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Sledevič, Tomyslav, and Liudas Stašionis. "FPGA-BASED IMPLEMENTATION OF LITHUANIAN ISOLATED WORD RECOGNITION ALGORITHM / LIETUVIŲ KALBOS PAVIENIŲ ŽODŽIŲ ATPAŽINIMO ALGORITMO ĮGYVENDINIMAS LAUKU PROGRAMUOJAMA LOGINE MATRICA." Mokslas - Lietuvos ateitis 5, no. 2 (May 24, 2013): 101–4. http://dx.doi.org/10.3846/mla.2013.18.

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The paper describes the FPGA-based implementation of Lithuanian isolated word recognition algorithm. FPGA is selected for parallel process implementation using VHDL to ensure fast signal processing at low rate clock signal. Cepstrum analysis was applied to features extraction in voice. The dynamic time warping algorithm was used to compare the vectors of cepstrum coefficients. A library of 100 words features was created and stored in the internal FPGA BRAM memory. Experimental testing with speaker dependent records demonstrated the recognition rate of 94%. The recognition rate of 58% was achieved for speaker-independent records. Calculation of cepstrum coefficients lasted for 8.52 ms at 50 MHz clock, while 100 DTWs took 66.56 ms at 25 MHz clock. Article in Lithuanian. Santrauka Pateikiamas lietuvių kalbos pavienių žodžių atpažinimo algoritmo įgyvendinimas lauku programuojama logine matrica (LPLM). LPLM įrenginys pasirinktas dėl lygiagrečiai veikiančių procesų įgyvendinimo galimybės taikant VHDL kalbą. Tai užtikrina spartų signalų apdorojimą esant taktiniam dažniui iki 50 MHz. Kalbos požymiams išskirti taikoma kepstrinė šnekos analizė. Požymiams palyginti taikomas dinaminis laiko skalės kraipymo (DSLK) metodas. Sudaryta 100 žodžių požymių biblioteka, kuri saugoma vidinėje LPLM BRAM atmintyje. Pasiektas 94 % atpažinimo tikslumas priklausomai nuo kalbėtojo ir 58 % – nepriklausomai nuo kalbėtojo. Kepstro koeficientų skaičiavimas vienam žodžiui trunka 8,52 ms, esant 50 MHz taktiniam dažniui, ir šimtui DLSK – 66,56 ms, esant 25 MHz taktiniam dažniui.

Dissertations / Theses on the topic "Kepstrum":

1

Kupka, Petr. "Detekce alkoholu v řečovém signálu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442414.

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The diploma thesis Detection of Alcohol in Speech Signal first describes the effect of alcohol on the human body. The second part deals with ways to obtain parameters that describe the speech signal. The third part provides a brief overview of previous case studies and patents focused on the detection of alcohol in the speech signal. The fourth part presents the collected own database of voice recordings and developed software application for the analysis of intoxicated speech. The final part describes the measured changes in speech signal parameters that indicate alcohol intoxication.
2

Šústek, Martin. "Ukázkový systém na rozpoznávání mluvčích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217682.

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My diploma theses deals with the problem of the speaker recognition. The basic theory of this problem is described in the text as well as model and implementation of the system for speaker recognition. The scope of the system is to recognize up to three speakers. The theory is based on calculation parameters for speaker recognition and processing of voice. Program is made in Matlab as a independent application and it has got Czech and English interface.
3

Vodička, Radek. "Rozpoznávání izolovaných slov." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220658.

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Main purpose of the thesis is to study the processes and methods of isolated words recognition. In the theoretical part a basic principals are explained. The practical part is about the program creating using these principles in practice. For isolated words recognition Hidden Markov Models (HMM) are used, for obtaining decision symptoms cepstral analysis is chosen.
4

Matuštík, Daniel. "Určování základního hlasového tónu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-219980.

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This diploma thesis with estimation of pitch period of the human voice. The paper listed some of the methods for Estimation of pitch period and method for preprocessing and final processing of the signal after application of functions to determine the frequency of the pitch period in graphical user interface.
5

Adamec, Michal. "Moderní rozpoznávače řečové aktivity." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217322.

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This masters theses deals with standard detection methods of speech/pause - voice activity detectors are based on the principles of short-time energy, real spectrum, short-time intensity and on a combinations of these three detectors. In the next parts, there are mentioned other voice activity detectors based on hidden Markovov‘s models and a detector described in the ITU-T G.729 standard. All the detectors, mentioned above, were implemented in research environment MATLAB. Further there was created an user interface for testing functions of the implemented detectors. Finally, there was done an evaluation by ROC characteristics according to the results of the testing.
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Sobotková, Šárka. "Detektor dětského pláče s digitálním signálovým procesorem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220023.

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The thesis discusses the baby cry. Processing of literary research in dealing with children crying and processing of audio signals. Based on information gathered propose an algorithm for detecting child's cry, which was verified using Matlab programming environment. Based on the identified parameters of the input signals and the proposed algorithms was selected appropriate digital signal processor. The hardware device was realized to detect and initialize the child crying, and its functionality has been verified in the recorded sound recordings child crying.
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Pfeifer, Leon. "Automatické rozpoznávání emočních stavů člověka na základě analýzy řečového projevu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217520.

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The diploma thesis deals with the analysis of human emotional states. The thesis consists of three parts. The first part is charcterize, the process of speech generating, from phonetic and psychological poin of view. In the second part there are proccesed metods and contextual things.(preprocessing of signal, voice activity detector). For calculation fundamental Frequency it was used metod of central clipping, another used metod is formant frequency analyse and the last is metod of determinatin of nuber of thorns and planes. In the thirt part there are proccesesed results of measurements performed by particural metods. It was scorred five different emotional states: neutral, anger, happiness, sadness and surprise. At the end of this part there are discussed results for each metod.
8

Jeong, Jinsoo. "A kepstrum approach to real-time speech enhancement : thesis for the degree of Doctor of Philosophy, Information Engineering, Institute of Technology and Engineering, Massey University at Albany." 2007. http://hdl.handle.net/10179/1738.

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Content removed due to copyright: Conference proceedings (I) J. Jeong, and T.J. Moir, "Kepstrum approach to real-time speech enhancement methods using two microphones", Proceedings of the International Conference on Sensing Technology (ICST), pp 691-695, November 21-23, 2005, Palmerston North, New Zealand Conference proceedings (II) J. Jeong and T. J. Moir, "Two-microphone kepstrum approach to real-time speech enhancement methods" Proceedings of the IEEE International Conference on Engineering of Intelligent Systems (ICEIS), pp 392-397, April 22-23, 2006, Islamabad, Pakistan Conference proceedings (III) T. J. Moir and J. Jeong, "Identification of non-minimum phase transfer function components" Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp 380-384, August 27-30, 2006, Vancouver, Canada
This research is mainly concerned with a robust method for an improved performance of a real-time speech enhancement and noise cancellation in a real reverberant environment. Therefore, the thesis titled, "A Kepstrum Approach to Real-Time Speech Enhancement" presents an application technique of a kepstrum method to a speech enhancement method. The kepstrum approach is based on a fundamental theory of kepstrum analysis, which gives a mathematical construct to the application of a speech enhancement. kepstrum analysis is applied to the system identification application of unknown acoustic transfer functions between two microphones. This kepstrum method provides a mathematical representation with FFT based processing and is independent of acoustic path model order. The front-end application of the kepstrum method to speech enhancement methods provides an improved performance in speech enhancement and noise cancellation with several favourable effects.

Book chapters on the topic "Kepstrum":

1

Lehmann, Thomas, Carsten Goerke, Walter Schmitt, and Rudolf Repges. "Rotations- und Translationsbestimmung durch eine erweiterte Kepstrum—Technik." In Informatik aktuell, 395–402. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79980-8_47.

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Conference papers on the topic "Kepstrum":

1

Lalitha, V., P. Prema, and Lazar Mathew. "A Kepstrum based approach for enhancement of dysarthric speech." In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5646752.

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Jeong, Jinsoo. "Analysis of inverse kepstrum and innovations-based application to noise cancellation." In 2009 IEEE International Symposium on Industrial Electronics (ISIE 2009). IEEE, 2009. http://dx.doi.org/10.1109/isie.2009.5217921.

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Jeong, Jinsoo. "Inverse kepstrum approach to FIR RLS algorithm and application to adaptive noise cancelling." In 2010 IEEE International Conference on Industrial Technology. IEEE, 2010. http://dx.doi.org/10.1109/icit.2010.5472686.

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4

Moir, T. J. "A kepstrum approach to time-delay estimation with application to acoustic source tracking." In 2008 15th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2008. http://dx.doi.org/10.1109/mmvip.2008.4749563.

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5

Jeong, Jinsoo. "Real-time acoustic noise canceling technique on innovations-based inverse kepstrum and FIR RLS." In Control (MSC). IEEE, 2010. http://dx.doi.org/10.1109/isic.2010.5612882.

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