Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Peter V. De Souza"'
Publikováno v:
The Journal of the Acoustical Society of America. 124:3372
Two statistics are disclosed for determining the quality of language models. These statistics are called acoustic perplexity and the synthetic acoustic word error rate (SAWER), and they depend upon methods for computing the acoustic confusability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de34b8153d697a23ad64e664bbed6311
https://doi.org/10.1121/1.3047454
https://doi.org/10.1121/1.3047454
Publikováno v:
ICASSP
The acoustic modeling problem in automatic speech recognition is examined from an information-theoretic point of view. This problem is to design a speech-recognition system which can extract from the speech waveform as much information as possible ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::904e820c5f883f35444213845e90be7e
https://doi.org/10.1016/b978-0-08-051584-7.50031-0
https://doi.org/10.1016/b978-0-08-051584-7.50031-0
Publikováno v:
The Journal of the Acoustical Society of America. 107:1816
Tone-sensitive acoustic models are generated by first generating acoustic vectors which represent the input data. The input data is separated into multiple frames and an acoustic vector is generated for each frame which represents the input data over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::361a2420c1ad813c823fe8a4d99af01c
https://doi.org/10.1121/1.428536
https://doi.org/10.1121/1.428536
Autor:
Stephen C. Austin, Peter V. De Souza
Publikováno v:
The Journal of the Acoustical Society of America. 104:3159
A method and apparatus for constructing a hidden Markov model comprised of multiple fenones characterized by their duration and a set of acoustic properties. The present invention provides a sequence of fenones to model a speech event. The sequence m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c18075d01be41a794f78a027f8b4a838
https://doi.org/10.1121/1.423987
https://doi.org/10.1121/1.423987
Publikováno v:
The Journal of the Acoustical Society of America. 102:3252
A speech recognition technique utilizes a set of N different principal discriminant matrices. Each principal discriminant matrix is associated with a distinct class. The class is an indication of the proximity of a speech segment to neighboring phone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0add66409247969db4ef0a09260e58fc
https://doi.org/10.1121/1.420242
https://doi.org/10.1121/1.420242
Publikováno v:
The Journal of the Acoustical Society of America. 99:3284
The present invention relates to labelling of speech in a context-dependent speech recognition system. When labelling speech using context-dependent prototypes the phone context of a frame of speech needs to be aligned with the appropriate acoustic p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429def7333c77b2be7e70146eb7acce4
https://doi.org/10.1121/1.414941
https://doi.org/10.1121/1.414941
Publikováno v:
The Journal of the Acoustical Society of America. 97:2629-2629
A speech coding apparatus compares the closeness of the feature value of a feature vector signal of an utterance to the parameter values of prototype vector signals to obtain prototype match scores for the feature vector signal and each prototype vec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::611e106446ee79f32314435c2b86d5df
https://doi.org/10.1121/1.411888
https://doi.org/10.1121/1.411888
Autor:
David Nahamoo, Lalit R. Bahl, Ponani S. Gopalakrishnan, Jerome R. Bellegarda, Peter V. De Souza, Michael Picheny, A. Nadas
Publikováno v:
The Journal of the Acoustical Society of America. 97:736-736
A speech coding apparatus and method for use in a speech recognition apparatus and method. The value of at least one feature of an utterance is measured during each of a series of successive time intervals to produce a series of feature vector signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f52215e5c28010e62f7704cfa659b87
https://doi.org/10.1121/1.412207
https://doi.org/10.1121/1.412207
Publikováno v:
The Journal of the Acoustical Society of America. 96:3210-3210
A speech recognition apparatus and method estimates the next word context for each current candidate word in a speech hypothesis. An initial model of each speech hypothesis comprises a model of a partial hypothesis of zero or more words followed by a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3e75be3687815f08ce83f22fb05fb7d
https://doi.org/10.1121/1.411229
https://doi.org/10.1121/1.411229