Literature DB >> 4846727

Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification.

B S Atal.   

Abstract

Mesh：

Year:  1974        PMID： 4846727     DOI： 10.1121/1.1914702

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN： 0001-4966            Impact factor:   1.840


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  6 in total

1.  Diagnostic Assessment of Childhood Apraxia of Speech Using Automatic Speech Recognition (ASR) Methods.

Authors:  John-Paul Hosom; Lawrence Shriberg; Jordan R Green
Journal:  J Med Speech Lang Pathol       Date:  2004-12

Review 2.  Syllabic (∼2-5 Hz) and fluctuation (∼1-10 Hz) ranges in speech and auditory processing.

Authors:  Erik Edwards; Edward F Chang
Journal:  Hear Res       Date:  2013-09-12       Impact factor: 3.208

3.  The effect of accelerometer location on the classification of single-site forearm mechanomyograms.

Authors:  Natasha Alves; Ervin Sejdić; Bhupinder Sahota; Tom Chau
Journal:  Biomed Eng Online       Date:  2010-06-10       Impact factor: 2.819

4.  Voice - How humans communicate?

Authors:  Manjul Tiwari; Maneesha Tiwari
Journal:  J Nat Sci Biol Med       Date:  2012-01

5.  Speech acoustics: How much science?

Authors:  Manjul Tiwari
Journal:  J Nat Sci Biol Med       Date:  2012-01

6.  A bio-inspired feature extraction for robust speech recognition.

Authors:  Youssef Zouhir; Kaïs Ouni
Journal:  Springerplus       Date:  2014-11-04
  6 in total

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