نتایج جستجو برای: formant frequency patterns

تعداد نتایج: 872155  

2001
Dashtseren Erdenebat Shigeyoshi Kitazawa Tatsuya Kitamura

Our study focuses on the development of a new feature driven speech-processing strategy for cochlear implant system. In each cycle of stimulation of the cochlea, an electrode, corresponding to second formant frequency was chosen among 14 basilar electrodes. On the base of voiced/unvoiced decision of the speech, an electrode corresponding to first formant frequency was selected for stimulation a...

1999
Patrick Lu Paul Mueller

Spectrograms carry all necessary information for reliable human and computer perception of speech. This paper discusses the importance of spectrogram features used by a recognition algorithm developed by Ali et al. as they relate to human perception. Features, including MNSS, burst frequency, formant transitions, voicing onset time, and voicing/unvoicing information are defined and their import...

2010
Dong-Yan Huang Susanto Rahardja Ee Ping Ong

Seeing that speakers increase the intensity of their voice when speaking in loud noise (Lombard effect), this paper proposes a speech transformation approach to mimic this Lombard effect for improving the intelligibility of speech in noisy environments. The approach attempts to simulate the variations of duration, formant frequencies, formant bandwidth, fundamental frequency (F0), and energy in...

1999
Ge Gao Pak-Chung Ching

In this paper, we propose a low bit rate waveform interpolation speech coder where the novelty lies with an e ective decomposition method of pitch cycle waveform(PCW). PCWs exhibit very di erent perceptual characteristics in di erent frequency bands. For frequency components below 1kHz, they are quantized using Variable Dimensional Vector Quantization(VDVQ) scheme. Hereby retaining the ne harmo...

2001
Raymond E. Slyh Eric G. Hansen Timothy R. Anderson

In this paper, the feature set of fundamental frequency, formant center frequencies, and formant bandwidths were used in speaker verification experiments using the database distributed by the Speaker Odyssey Workshop. The features were extracted using the Entropic Signal Processing System. The main classifier was a Gaussian Mixture Model system built by MIT Lincoln Laboratory, but tests were al...

1999
Peter Kabal Fang-Ming Wang Douglas O'Shaughnessy

This paper presents a new frequency-domain adaptive postfilter for enhancement of noisy speech. The postfilter suppresses the noise in spectral valleys and allows more noise in the formant regions where i t is masked by the speech signal. First, we perform an LPC analysis of the noisy speech and calculate its log magnitude spectrum. After identifying the formants and spectral valleys, the log m...

2001
Byunggon Yang

This study explored the relationship between the production of the nine English vowels and the perception of synthesized vowels by thirty-five American, Chinese, and Korean, male and female speakers. The average formant values of the ten American English speakers were employed to synthesize the nine vowels that were presented to the thirty-five speakers. The center formant values of the highest...

2003
Ludo Max Marie E. Wallace Irena Vincent

We investigated sensorimotor adaptation to auditory feedback perturbations during speech production. In Study I, formant or fundamental frequency (F0) feedback was manipulated during sustained vowels. When F0 feedback was altered, group data showed upward F0 adjustments regardless of the feedback shift direction. When formant feedback was altered, group data showed opposing adjustments in both ...

Journal: :The Journal of the Acoustical Society of America 1997
W T Fitch

Body weight, length, and vocal tract length were measured for 23 rhesus macaques (Macaca mulatta) of various sizes using radiographs and computer graphic techniques. linear predictive coding analysis of tape-recorded threat vocalizations were used to determine vocal tract resonance frequencies ("formants") for the same animals. A new acoustic variable is proposed, "formant dispersion," which sh...

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