Proceedings ArticleDOI
An effective pitch detection method for speech signals with low signal-to-noise ratio
Zhen-Dong Zhao,Xi-Mei Hu,Jing-Feng Tian +2 more
- Vol. 5, pp 2775-2778
TLDR
Compared with the autocorrelation function pitch detection method, a distinct improvement in effect can be seen by using this improved method in pitch detection.Abstract:
Pitch detection in noisy environment plays an important role in speech analyzing and recognition. In this paper, an effective pitch detection method is proposed. Noised speech is denoised by an improved form of spectral subtraction method. A linear predictive coding analysis is performed on the segmented speech, and the segmented speech is filtered by the inverse filter to give the linear prediction error. The cepstrum of the linear prediction error and the autocorrelation function of the cepstrum are calculated. The result of the simulation shows that compared with the autocorrelation function pitch detection method, a distinct improvement in effect can be seen by using this improved method in pitch detection.read more
Citations
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Proceedings ArticleDOI
Speech pitch detection using short-time energy
TL;DR: The sum of square energy method in detecting the voiced/unvoiced speech since they have different level of energy is shown since there is not one algorithm found that perfectly detects the pitch.
Journal ArticleDOI
A New Method of Voiced/Unvoiced Classification Based on Clustering
TL;DR: A new method for making v/uv decision is developed which uses a multi-feature v/UV classification algorithm based on the analysis of cepstral peak, zero crossing rate, and autocorrelation function (ACF) peak of short-time segments of the speech signal by using some clustering methods.
Proceedings ArticleDOI
Speech recognition based computer keyboard replacement for the Quadriplegics, Paraplegics, paralytics and amputees
C. Chandramouli,Vivek Agarwal +1 more
TL;DR: A rehabilitative system for individuals who are physically handicapped due to Quadriplegia, Paraplegia, Amyotrophic lateral sclerosis, paralysis, congenital defect(s) or accident, leading to de-generated growth of or amputated limbs is developed.
Proceedings ArticleDOI
Turkish pitch frequency detection: AutoCorreletaion and cepstral method
Lutfiye Cagan,Umut Arioz +1 more
TL;DR: Improvements achieved at fundamental frequency determination will be beneficial to development of all above-mentioned speech processing applications.
Dissertation
The development of voice disorder evaluation system based on dysphonia severity index
TL;DR: The research develops an automatic voice diagnostic system based on objective non-invasive multiparameter method known as Dysphonia Severity Index (DSI), which integrates a new proposed pitch detection algorithm (PDA), start/end point detection algorithm, jitter equation, and intensity equation to obtain the four DSI parameters allowing the system to be used by patient at home to monitor their voices.
References
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Patent
Speech signal processing
Abstract: A speech signal processing system comprises an audio processor (103) for providing a first signal representing an acoustic speech signal of a speaker. An EMG processor (109) provides a second signal which represents an electromyographic signal for the speaker captured simultaneously with the acoustic speech signal. A speech processor (105) is arranged to process the first signal in response to the second signal to generate a modified speech signal. The processing may for example be a beam forming, noise compensation, or speech encoding. Improved speech processing may be achieved in particular in an acoustically noisy environment.
Proceedings ArticleDOI
A Method Combining LPC-Based Cepstrum and Harmonic Product Spectrum for Pitch Detection
TL;DR: Experiment studied indicates that this novel method combining LPC-based Cepstrum and HPS is effective and valuable for application in pitch detection, since it robustly handles different frequency domain noise and pitch errors.
Proceedings ArticleDOI
Noise-robust fundamental frequency extraction method based on band-limited amplitude spectrum
T. Shimamura,H. Takagi +1 more
TL;DR: In this article, an exponentiated amplitude spectrum is calculated with a band-limitation operation and its inverse Fourier transform is used as the basis function for fundamental frequency extraction, which invokes a performance robust against noise as well as formant characteristics.
Proceedings ArticleDOI
A Method Combining LPC-Based Cepstrum and Harmonic Product Spectrum for Pitch Detection
Journal Article
Speech enhancement applied to speech recognition in noisy environments
TL;DR: Experimental results show that the cascading of the speech enhancer and a Hidden Markov Model (HMM) based speech recognizer can significantly improve recognition accuracy in noisy environments without performance degradation for clean speech.
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