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Parametric speech signal representations are necessary in almost every field of speech technologies: speech and speaker recognition [1],[2], speech and speaker transformation [3], synthesis [4], diarization [5], etc.
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His scholarly work has helped shape the field of speech and hearing, with numerous works including a notable treatise on phonetics, now in its third edition.
Section 2 presents a brief overview of the research in the field of speech emotion recognition.
The LPC schemes are usually used in the field of speech coding.
GSS-based dereverberation was applied to the field of speech recognition in a previous study [22].
In the field of speech processing, NMF is a well-known approach for source separation and speech enhancement [13].
In addition, the application of CS theory to the field of speech signal processing is becoming a rising research focus.
Recently, the study of voice conversion (VC) has attracted wide attention in the field of speech processing.
Fast rescoring with NNLM has attracted much attention in the field of speech recognition [9, 10, 22 24].
Pitch, duration, energy and Mel-frequency cepstral coefficients (MFCC) are the widely used features in the field of speech emotion recognition.
The methodology applied was similar to techniques used in the field of speech recognition, utilizing Vector quantization (VQ) or Gaussian mixture modeling (GMM).
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