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Pitch is determined by naturally occurring periodic sounds

David A Schwartz, Dale Purves
2004 Hearing Research  
A database of speech sounds, the principal source of periodic sound energy for human listeners, was compiled and the dominant periodicity of each speech sound determined.  ...  In each case, the conditional probability distribution of speech sound periodicities accurately predicted the pitches normally heard in response to the test stimuli.  ...  , Surajit Nundy, Bob Peters, Liwei Sha, Zhiyong Yang and two anonymous reviewers for helpful criticism, Nikos Pitsianis for programming assistance, and the Duke Visualization Analysis Lab for the use of  ... 
doi:10.1016/j.heares.2004.01.019 pmid:15276674 fatcat:kzwqcxunxrcdnhjjnpamdjjkti

Voice Conversion Using Pitch Shifting Algorithm by Time Stretching with PSOLA and Re-Sampling

Allam Mousa
2010 Journal of Electrical Engineering  
Comparison in terms of pitch shifting is presented here. Analysis was performed for a single frame and a full segmentation of speech.  ...  it according to the target pitch period using time stretching with Pitch Synchronous Over Lap Add Algorithm (PSOLA), then resampling the signal in order to have the same play rate.  ...  Pitch shifting The pitch period is responsible for making some sounds to be sharper than others. The number of vibrations produced during a given period determines the pitch period.  ... 
doi:10.2478/v10187-010-0008-5 fatcat:xrhjnt4cj5bpnpbawa4xqirfia

Evaluation of an adaptive comb filtering method for enhancing speech degraded by white noise addition

Jae Lim, A. Oppenheim, L. Braida
1978 IEEE Transactions on Acoustics Speech and Signal Processing  
An intelligibility test was performed to evaluate an adaptive comb filtering method proposed by Frazier [2] for enhancement of degraded speech due to additive white noise.  ...  Results indicate that independent of SIN ratio the adaptive comb filtering scheme does not increase speech intelligibility. 0096-3518/78/0800-0354$00.75 0 1978 IEEE LIM et al.: COMB FILTERING FOR ENHANCING  ...  ACKNOWLEDGMENT We appreciate the help of Y. Perlmutter for supplying files of nonsense sentences and their fundamental frequency information which were used in the processing.  ... 
doi:10.1109/tassp.1978.1163117 fatcat:3csldkl3qbafdpmj4wkiupjwim

A Model for Pitch Estimation Using Wavelet Packet Transform Based Cepstrum Method

T.K. Muhaseena, M.S. Lekshmi
2016 Procedia Technology - Elsevier  
The proposed system consists of channel separation and periodicity detection. The input signal is created by mixing two sound signals. First removes the short time correlations of the mixed signal.  ...  A computationally efficient model for pitch estimation of mixed audio signals is presented.  ...  Acknowledgment The authors gratefully acknowledge the contributions of TeroTolonen,for his work on the original version of this document.  ... 
doi:10.1016/j.protcy.2016.05.236 fatcat:ls7lm3rpg5fzhl7zoxyq3oeopi

Pitch Determination from Bone Conducted Speech

M. Shahidur RAHMAN, Tetsuya SHIMAMURA
2016 IEICE transactions on information and systems  
This paper explores the potential of pitch determination from bone conducted (BC) speech.  ...  Pitch determination from normal air conducted (AC) speech signal can not attain the expected level of accuracy for every voice and background conditions.  ...  pitch determination of speech signal.  ... 
doi:10.1587/transinf.2015edl8134 fatcat:2p5gwqybtva5jnrebhaehwld3u

Adaptive Pitch Transposition: Smart Auditory Spectral Shifts in Cochlear Implants

Kevin Struwe, Ralf Salomon
2017 Engineering  
To determine this value, a patient-individual best pitch is determined experimentally by evaluating speech recognition at different pitches. This best pitch is subsequently called the comfort pitch.  ...  A system comprised of pitch detection, pitch transposition and an arbitrary chosen comfort pitch is described in depth.  ...  Part of this research was funded by the German Research Foundation (DFG) grant number GRK 1505.  ... 
doi:10.4236/eng.2017.99045 fatcat:xu65gbe7vzhslpa3tz7vahnwyi

Pitch determination using the cepstrum of the one-sided autocorrelation sequence

C. Nadeu, J. Pascual, J. Hernando
1991 [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing  
A new cepstral function, the cepstrum of the one-sided autocorrelation sequence, is presented and applied to pitch determination of speech signals.  ...  It shows a performance in terms of pitch period errors significantly better than those of the usual cepstrum and autocorrelation with center clipping algorithms for both clean and noisy speech, due to  ...  Particularly, the number of pitch period errors increases significantly at transitions between a voiced sound and another sound that can be voiced, unvoiced or silence, and also in sounds that have a transitional  ... 
doi:10.1109/icassp.1991.151074 dblp:conf/icassp/NadeuPH91 fatcat:sivmetn4kvghfohtg6p6vnbwci

Subjective Performance Of Spectral Excitation Coding Of Speech At 2.4 Kb/S

V. Cuperman, P. Lupini
1996 Zenodo  
Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 1996  ...  When the algorithm determines that the pitch is being tracked during steady voicing, any large deviations in the estimated pitch period are assumed to be pitch errors, and the open loop pitch estimate  ...  To improve subjective quality, t h e upper distortion limit D h was made to be dependent o n the pitch period according to where all constants were determined through experimentation.  ... 
doi:10.5281/zenodo.36343 fatcat:mebdfz7ifjesrexhohtsyr5p24

Deaf Speech Assessment Using Digital Processing Techniques

C Jeyalakshmi, V Krishnamurthi, A Revathy
2010 Signal & Image Processing An International Journal  
Since speech to text or sound system for a normal speaker is available, by designing a speech to text or sound system for deaf, they can make use of all computer aided devices and normal speakers can also  ...  Initially the input is sampled, filtered, windowed and Pitch frequency is determined for each frame. Similarly first six formants are determined for each frame.  ...  [11] The fundamental frequency (Fo) of voiced sounds is determined physiologically by the vocal fold vibration rate.  ... 
doi:10.5121/sipij.2010.1102 fatcat:zwjpqwbgsvdgrn6z6qiu7xwq7u

Pitch Estimation using Time Domain Algorithm

Speech is classified into voice, unvoiced and silence. The voice speech is the periodic vibration of vocal folds. Background noise affects the speech signals.  ...  Detecting the Pitch within the speech signal is important in most of all the speech related applications. Detection of Pitch is useful in identification of speaker.  ...  In many speech processing algorithm detection of pitch is very important. Recognition of speech system of tongue uses pitch chase for tone recognition.  ... 
doi:10.35940/ijitee.j9733.0981119 fatcat:rat4ry3djva4rhs34zutqfh2q4

Page 32 of Hewlett-Packard Journal Vol. 35, Issue 1 [page]

1984 Hewlett-Packard Journal  
The pitch value is derived from the periodic variation of the sample values Phonetics Before discussing how the LPC parameters are combined to form a frame of speech data and how that frame is used to  ...  Examples of unvoiced sounds are the letters f and s. Voiced sounds involve the vocal cords vibrating at a certain pitch. All vowels are voiced sounds as well as the letters |, m, n, r, w, and y.  ... 

Wavelet analysis used in text-to-speech synthesis

M. Kobayashi, M. Sakamoto, T. Saito, Y. Hashimoto, M. Nishimura, K. Suzuki
1998 IEEE transactions on circuits and systems - 2, Analog and digital signal processing  
We developed four new technologies to overcome these difficulties and improve the quality of output from TTS systems: accurate pitch mark determination by wavelet analysis, speech waveform generation using  ...  Synthesis methods which are based on manipulation of the speech signal spectrum (e.g., linear predictive coding synthesis and formant synthesis) produce comprehensible but unnatural sounding output.  ...  The pitch periods we determine are used during an overlap-add process for speech synthesis (see Section III, the TD-PSOLA method).  ... 
doi:10.1109/82.718823 fatcat:bd2vi2evczhjnib3h2x5xtc24q

Voice conversion application (VOCAL)

Liliana, Resmana Lim, Elizabeth Kwan
2011 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering  
Recently, a lot of works has been done in speech technology. Text-to-Speech and Automatic Speech Recognition have been the priorities in research efforts to improve the human-machine interaction.  ...  For conversion process speech is resolved in two components, excitation component and filtered component using Linear Predictive Coding (LPC). Ptich is determined by autocorrelation.  ...  Pitch Period Computation According to Dunn (2003) , pitch detection has always been a complex issue in speech processing.  ... 
doi:10.1109/urke.2011.6007812 fatcat:usygjv7aifbpdedcpiwchme2aq

Fundamental Frequency Estimation and Analysis of Speech Signal

Mahesh M. Kamble, Tejal S. Bandgar
2021 Zenodo  
The fundamental frequency may be determined by pitch preprocessing and extraction.  ...  Different domain of time and frequency pitch estimation techniques are utilized.  ...  The method to ascertain the pitch period of voice signal is important not only in speech signal processing, but also in diagnosing vocal cord symptoms.  ... 
doi:10.5281/zenodo.5349038 fatcat:th2agsozvja5pe6yf7cydsqtry

Production of white tone from white noise and voiced speech from whisper

Richard M. Warren, James A. Bashford
1978 Bulletin of the Psychonomic Society  
A new class of tonal sounds can be generated by repeating brief sections of noise over and over without intervening silence.  ...  of the voweL Whispered discourse can be converted to an intelligible voiced monotone by repetition of regularly spaced samples drawn from the whispered speech.  ...  voiced version of the speech sound.  ... 
doi:10.3758/bf03336845 fatcat:kajyo7fnabc2hi2cphd25j73eq
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