Method and apparatus for producing acoustic model
AssigneeMatsushita Electric Industrial Co., Ltd.
InventorsMaki Yamada, Masakatsu Hoshimi
Life of this patent
Estimating the term…
Abstract
In an acoustic model producing apparatus, a plurality of noise samples are categorized into clusters so that a number of the clusters is smaller than that of noise samples. A noise sample is selected in each of the clusters to set the selected noise samples to second noise samples for training. On the other hand, untrained acoustic models are stored on a storage unit so that the untrained acoustic models are trained by using the second noise samples for training, thereby producing trained acoustic models for speech recognition so as to produce a trained acoustic model for speech recognition.
Claims8
An apparatus for producing an acoustic model for speech recognition, said apparatus comprising:
- means for categorizing a plurality of first noise samples into clusters, a number of said clusters being smaller than that of noise samples;
- means for selecting a noise sample in each of the clusters to set the selected noise samples to second noise samples for training;
- means for storing thereon an untrained acoustic model for training;
- and
- means for training the untrained acoustic model by using the second noise samples for training so as to produce the acoustic model for speech recognition.
An apparatus for recognizing an unknown speech signal comprising:
- means for categorizing a plurality of first noise samples into clusters, a number of said clusters being smaller than that of noise samples;
- means for selecting a noise sample in each of the clusters to set the selected noise samples to second noise samples for training;
- means for storing thereon an untrained acoustic model for training;
- means for training the untrained acoustic model by using the second noise samples for training so as to obtain a trained acoustic model for speech recognition;
- means for inputting the unknown speech signal;
- and
- means for recognizing the unknown speech signal on the basis of the trained acoustic model for speech recognition.
A programmed-computer readable storage medium comprising:
- means for causing a computer to categorize a plurality of first noise samples into clusters, a number of said clusters being smaller than that of noise samples;
- means for causing a computer to select a noise sample in each of the clusters to set the selected noise samples to second noise samples for training;
- means for causing a computer to store thereon an untrained acoustic model;
- and
- means for causing a computer to train the untrained acoustic model by using the second noise samples for training so as to produce an acoustic model for speech recognition.
A method of producing an acoustic model for speech recognition, said method comprising the steps of:
- preparing a plurality of first noise samples;
- preparing an untrained acoustic model for training;
- categorizing the plurality of first noise samples into clusters, a number of said clusters being smaller than that of noise samples;
- selecting a noise sample in each of the clusters to set the selected noise samples to second noise samples for training;
- and
- training the untrained acoustic model by using the second noise samples for training so as to produce the acoustic model for speech recognition.
Dependencies are inferred from the claim text.