Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
Platform: |
Size: 105227 |
Author:杨杭洲 |
Hits:
Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
Platform: |
Size: 62508 |
Author:杨杭洲 |
Hits:
Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
Platform: |
Size: 72181 |
Author:杨杭洲 |
Hits:
Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
.. beta
Platform: |
Size: 77953 |
Author:杨杭洲 |
Hits:
Description: 语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use. Platform: |
Size: 1024 |
Author:杨洁 |
Hits:
Description: 一段数字读音转MEL系数的源码，相信在语音识别特征提取中可以有和大的用处-a digital switch pronunciation MEL coefficient of the source code, I believe the speech recognition feature extraction can be a useful and Platform: |
Size: 3072 |
Author:曹永新 |
Hits:
Description: 有关语音识别中的特征提取的2007年以前的所有IEEE的期刊文章-On the Speech Recognition feature extraction in 2007 all the previous articles in the journals IEEE Platform: |
Size: 5416960 |
Author:李金宝 |
Hits:
Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
-RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported- PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
Platform: |
Size: 104448 |
Author:杨杭洲 |
Hits:
Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
-RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported- PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
Platform: |
Size: 62464 |
Author:杨杭洲 |
Hits:
Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
-RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported- PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
Platform: |
Size: 71680 |
Author:杨杭洲 |
Hits:
Description: RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported - PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
.. beta
-RASTA is a program for performing feature extraction in speech
recognition systems. It takes files or streams of audio data and
produces files or streams of feature vectors. Three
feature extraction approaches are supported- PLP, log-rasta and
J-rasta. For each case, cepstral features are typically produced,
although there are some options for spectrum-like features.
RASTA handles various file formats and can be used in either
batch mode or an interactive demonstration system.
.. beta
Platform: |
Size: 77824 |
Author:杨杭洲 |
Hits:
Description: 语音识别技术主要包括特征提取技术、模式匹配准则及模型训练技术三个方面。此外，还涉及到语音识别单元的选取。选择识别单元是语音识别研究的第一步。语音识别单元有单词（句）、音节和音素三种，具体选择哪一种，由具体的研究任务决定。-Speech recognition technology, including feature extraction techniques, pattern-matching criteria and the three aspects of model training techniques. In addition, it involves the selection of speech recognition modules. Choose identification unit is the first step in speech recognition research. Speech recognition module has the word (sentence), three types of syllables and phonemes, the specific selection of which, by the specific research mission decide. Platform: |
Size: 8192 |
Author:candy |
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Description: 语音识别中的LPCC特征提取，其中包括经典的算法函数如DDurbin，协方差函数求法等，对学习提取特征参数非常有用。
-LPCC feature extraction in speech recognition, including classic algorithmic functions such as DDurbin covariance function evaluation method, the feature extraction parameters are very useful for learning. Platform: |
Size: 3072 |
Author:谨防 |
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Description: wavelet transform in speech recognition will be briefly reviewed.
we describe how the features are extracted, different algorithm, weighting will be introduced-wavelet transform in speech recognition will be briefly reviewed.
we describe how the features are extracted, different algorithm, weighting will be introduced Platform: |
Size: 974848 |
Author:mohanad |
Hits:
Search - feature extraction in speech recognition