Results 261 to 270 of about 6,722,896 (329)
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, 2017
A speech signal is formed through the activity of the elements of the speech apparatus that consists from lungs, trachea, larynx with vocal cords, pharynx with uvula, mouth cavity, and nasal cavity.
B. Kovacevic +3 more
semanticscholar +2 more sources
A speech signal is formed through the activity of the elements of the speech apparatus that consists from lungs, trachea, larynx with vocal cords, pharynx with uvula, mouth cavity, and nasal cavity.
B. Kovacevic +3 more
semanticscholar +2 more sources
Android-based mobile educational platform for speech signal processing
International Journal of Electrical Engineering and Education, 2017Nan Zhao, Minghu Wu
exaly +2 more sources
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
IEEE Transactions on Audio, Speech, and Language Processing, 2023We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a ...
Chengyi Wang +12 more
semanticscholar +1 more source
Computer Speech and Language, 2020
The article concerns the interpretation of the principal components of the spectrogram of the speech signal and its application to the description of dysarthric speech. Each principal component is a linear combination of the frame spectra.
A. Kacha +3 more
semanticscholar +1 more source
The article concerns the interpretation of the principal components of the spectrogram of the speech signal and its application to the description of dysarthric speech. Each principal component is a linear combination of the frame spectra.
A. Kacha +3 more
semanticscholar +1 more source
Parkinson disease prediction using intrinsic mode function based features from speech signal
, 2020Parkinson's disease (PD) is a progressive neurological disorder prevalent in old age. Past studies have shown that speech can be used as an early marker for identification of PD.
Biswajit Karan, S. Sahu, Kartik Mahto
semanticscholar +1 more source
Applied Soft Computing, 2019
In recent years, there has been increasing interest in the development of telediagnosis and telemonitoring systems for Parkinson’s disease (PD) based on measuring the motor system disorders caused by the disease.
C. O. Sakar +9 more
semanticscholar +1 more source
In recent years, there has been increasing interest in the development of telediagnosis and telemonitoring systems for Parkinson’s disease (PD) based on measuring the motor system disorders caused by the disease.
C. O. Sakar +9 more
semanticscholar +1 more source
Speech signal processing apparatus for extracting a speech signal from a noisy speech signal
The Journal of the Acoustical Society of America, 1994There is disclosed a signal detection apparatus for detecting a noise-suppressed speech signal. In the signal detection apparatus, a band division process including a Fourier transformation is performed for an inputted speech signal, thereby outputting spectrum signals of plural channels.
Joi Kane, Akira Nohara
openaire +1 more source
FRACTAL MODELING OF SPEECH SIGNALS
Fractals, 1994In this paper, we present a method for speech signal analysis and synthesis based on IFS theory. We consider a speech signal as the graph of a continuous function whose irregularity, measured in terms of its local Hölder exponents, is arbitrary. We extract a few remarkable points in the signal and perform a fractal interpolation between them using a ...
Levy Vehel, Jacques +2 more
openaire +3 more sources
Parameteric coding of speech signals
2009 International Conference on Ultra Modern Telecommunications & Workshops, 2009In this paper an FS1015 LPC coder has been designed using Matlab to produce intelligible speech. This paper focuses on the different methods of implementation and compared to determine, which gives the best performance. The coder has been tested on Hindi.
Vivek Kumar Sehgal +5 more
openaire +1 more source
The Influence of Azimuth on Speech Signals
Acta Oto-Laryngologica, 1963The aim of the investigation was to study how speech signals are influenced by the angle of incidence of the sound towards the head, i.e. azimuth. The study was made by means of an artificial head with condenser microphones at the site of the eardrums. Speech signals were recorded via these microphones and were then subjected to spectrographic analysis.
B, NORDLUND, B, FRITZELL
openaire +2 more sources