Robust speech emotion recognition method based on compressive sensing

A speech emotion recognition and compressed sensing technology, applied in speech recognition, speech analysis, instruments, etc.

Inactive Publication Date: 2013-04-03
TAIZHOU UNIV +2
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Problems solved by technology

At present, in the existing research literature on speech emotion recognition, there is no robust recognition method using

Method used

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  • Robust speech emotion recognition method based on compressive sensing
  • Robust speech emotion recognition method based on compressive sensing
  • Robust speech emotion recognition method based on compressive sensing

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Experimental program
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Embodiment Construction

[0076] figure 1 This system block diagram mainly includes two major blocks: acoustic feature extraction, training and testing of sparse representation classifiers.

[0077] 1. Acoustic feature extraction

[0078] From the German emotional speech sample library Berlin (see literature: Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., Weiss, B. A database of German emotional speech. In: Proceedings of. Interspeech-2005 , Lisbon, Portugal, 2005, pp. 1-4.) select seven emotional speech samples from angry, happy, sad, afraid, hate, bored, and neutral (no emotion), with a total of 535 sentences. Gaussian white noise is added to each selected emotional speech sample, and pre-emphasis, framing and windowing are preprocessed, and the frame length is 10ms. Then extract three aspects of acoustic feature parameters: prosody feature, tone quality feature, and Mel frequency cepstral coefficient MFCC. figure 2 The statistics of the three aspects of the extracted emotional acoustic featu...

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Abstract

The invention discloses a robust speech emotion recognition method based on compressive sensing. The recognition method includes generating a noisy emotion speech sample, establishing an acoustic feature extraction module, constructing a sparse representation classifier model, and outputting a speech emotion recognition result. The robust speech emotion recognition method has the advantages that effects of noise on emotion speech in the natural environment are fully considered, and the robust speech emotion recognition method under the noise background is provided; validity of feature parameters in different types is fully considered, extraction of feature parameters is extended to the Mel frequency cepstrum coefficient (MFCC) from prosodic and tone features, and anti-noise effects of the feature parameters are further improved; and the high-performance robust speech emotion recognition method based on the compressive sensing theory is provided through the sparse representation distinguishing in the compressive sensing theory.

Description

Technical field [0001] The present invention relates to the field of speech processing and pattern recognition, in particular to a robust speech emotion recognition method based on compressed sensing. Background technique [0002] Human language not only contains text symbol information, but also carries people's feelings and emotions. How to let the computer automatically analyze and judge the emotional state of the speaker through the voice signal, the so-called "speech emotion recognition" has become a hot spot in the fields of speech processing and pattern recognition. The ultimate goal of this research is to give the computer emotional intelligence so that the computer can interact naturally, cordially and vividly like a human. The research has important application value in artificial intelligence, robotics, natural human-computer interaction technology and other fields. [0003] At present, the research on speech emotion recognition basically uses emotion corpus recorded i...

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Application Information

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IPC IPC(8): G10L15/02G10L15/06G10L15/08G10L25/03G10L25/63
Inventor 赵小明张石清
Owner TAIZHOU UNIV
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