Search - feature extraction in speech recognition

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[Speech/Voice recognition/combine] rasta-2_3 DL : 0: 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.
Date : 2008-10-13 Size : 102.76kb User : 杨杭洲
[Speech/Voice recognition/combine] rasta2_2_2 DL : 0: 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.
Date : 2008-10-13 Size : 61.04kb User : 杨杭洲
[Speech/Voice recognition/combine] rasta2_2_3 DL : 0: 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.
Date : 2008-10-13 Size : 70.49kb User : 杨杭洲
[Speech/Voice recognition/combine] rasta2_3beta DL : 0: 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
Date : 2008-10-13 Size : 76.13kb User : 杨杭洲
[Speech/Voice recognition/combine] speakerrecognition DL : 0: 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.
Date : 2025-07-11 Size : 1kb User : 杨洁
[Speech/Voice recognition/combine] shuzduyinzhuanMEL DL : 0: 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
Date : 2025-07-11 Size : 3kb User : 曹永新
[Speech/Voice recognition/combine] feature_extraction_in_speech_recognition2006 DL : 0: 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
Date : 2025-07-11 Size : 5.17mb User : 李金宝
[Speech/Voice recognition/combine] feature_extraction_in_speech_recognition2005 DL : 0: 语音识别中的特征提取的IEEE的期刊论文2005年-Speech Recognition Feature Extraction of IEEE journals in 2005 Papers
Date : 2025-07-11 Size : 3.54mb User : 李金宝
[Speech/Voice recognition/combine] feature_extraction_in_speech_recognition2004 DL : 0: 语音识别中的特征提取的IEEE的期刊论文2004年-Speech Recognition Feature Extraction of IEEE journals in 2004 Papers
Date : 2025-07-11 Size : 1.89mb User : 李金宝
[Speech/Voice recognition/combine] rasta-2_3 DL : 0: 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.
Date : 2025-07-11 Size : 102kb User : 杨杭洲
[Speech/Voice recognition/combine] rasta2_2_2 DL : 0: 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.
Date : 2025-07-11 Size : 61kb User : 杨杭洲
[Speech/Voice recognition/combine] rasta2_2_3 DL : 0: 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.
Date : 2025-07-11 Size : 70kb User : 杨杭洲
[Speech/Voice recognition/combine] rasta2_3beta DL : 0: 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
Date : 2025-07-11 Size : 76kb User : 杨杭洲
[Technology Management] paper2 DL : 0: 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.
Date : 2025-07-11 Size : 8kb User : candy
[Speech/Voice recognition/combine] ubm DL : 0: universal background model used in front end feature extraction in speech recognition.
Date : 2025-07-11 Size : 187kb User : sarvesh
[Industry research] speech-recognition-as-feature-extraction-for-spea DL : 0: Speech Recognition as feature extraction in speaker recognition system
Date : 2025-07-11 Size : 95kb User : Ahmed Ezz
[Windows Develop] SLPCCp DL : 0: 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.
Date : 2025-07-11 Size : 3kb User : 谨防
[Industry research] Improved-Feature-Extraction-algorithm-Using-WDT.r DL : 0: 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
Date : 2025-07-11 Size : 952kb User : mohanad
[matlab] voicesignalprocessing DL : 0: 语音识别中信号特征的提取，基因周期估计，共振峰估计等。-Signal feature extraction in speech recognition, cycle genes estimation, formant estimation,etc
Date : 2025-07-11 Size : 12.15mb User : 王苏
[Other] Feature extraction DL : 0: Feature extraction papers related to MFCC use in speech recognition
Date : 2025-07-11 Size : 282kb User : m_z

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