Literature DB >> 21568429

Predicting the intelligibility of vocoded and wideband Mandarin Chinese.

Fei Chen1, Philipos C Loizou.   

Abstract

Due to the limited number of cochlear implantees speaking Mandarin Chinese, it is extremely difficult to evaluate new speech coding algorithms designed for tonal languages. Access to an intelligibility index that could reliably predict the intelligibility of vocoded (and non-vocoded) Mandarin Chinese is a viable solution to address this challenge. The speech-transmission index (STI) and coherence-based intelligibility measures, among others, have been examined extensively for predicting the intelligibility of English speech but have not been evaluated for vocoded or wideband (non-vocoded) Mandarin speech despite the perceptual differences between the two languages. The results indicated that the coherence-based measures seem to be influenced by the characteristics of the spoken language. The highest correlation (r = 0.91-0.97) was obtained in Mandarin Chinese with a weighted coherence measure that included primarily information from high-intensity voiced segments (e.g., vowels) containing F0 information, known to be important for lexical tone recognition. In contrast, in English, highest correlation was obtained with a coherence measure that included information from weak consonants and vowel/consonant transitions. A band-importance function was proposed that captured information about the amplitude envelope contour. A higher modulation rate (100 Hz) was found necessary for the STI-based measures for maximum correlation (r = 0.94-0.96) with vocoded Mandarin and English recognition.

Mesh:

Year:  2011        PMID: 21568429      PMCID: PMC3115276          DOI: 10.1121/1.3570957

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


  29 in total

1.  Speech recognition in noise as a function of the number of spectral channels: comparison of acoustic hearing and cochlear implants.

Authors:  L M Friesen; R V Shannon; D Baskent; X Wang
Journal:  J Acoust Soc Am       Date:  2001-08       Impact factor: 1.840

2.  Holes in hearing.

Authors:  Robert V Shannon; John J Galvin; Deniz Baskent
Journal:  J Assoc Res Otolaryngol       Date:  2002-06

3.  Effect of talker and speaking style on the speech transmission index.

Authors:  Sander J van Wijngaarden; Tammo Houtgast
Journal:  J Acoust Soc Am       Date:  2004-01       Impact factor: 1.840

4.  Cochlear implant speech recognition with speech maskers.

Authors:  Ginger S Stickney; Fan-Gang Zeng; Ruth Litovsky; Peter Assmann
Journal:  J Acoust Soc Am       Date:  2004-08       Impact factor: 1.840

5.  Speech intelligibility as a function of the number of channels of stimulation for signal processors using sine-wave and noise-band outputs.

Authors:  M F Dorman; P C Loizou; D Rainey
Journal:  J Acoust Soc Am       Date:  1997-10       Impact factor: 1.840

6.  Enhancing Chinese tone recognition by manipulating amplitude envelope: implications for cochlear implants.

Authors:  Xin Luo; Qian-Jie Fu
Journal:  J Acoust Soc Am       Date:  2004-12       Impact factor: 1.840

7.  Importance of tonal envelope cues in Chinese speech recognition.

Authors:  Q J Fu; F G Zeng; R V Shannon; S D Soli
Journal:  J Acoust Soc Am       Date:  1998-07       Impact factor: 1.840

8.  Effects of noise and spectral resolution on vowel and consonant recognition: acoustic and electric hearing.

Authors:  Q J Fu; R V Shannon; X Wang
Journal:  J Acoust Soc Am       Date:  1998-12       Impact factor: 1.840

9.  Predicting the intelligibility of vocoded speech.

Authors:  Fei Chen; Philipos C Loizou
Journal:  Ear Hear       Date:  2011 May-Jun       Impact factor: 3.570

10.  A novel speech-processing strategy incorporating tonal information for cochlear implants.

Authors:  N Lan; K B Nie; S K Gao; F G Zeng
Journal:  IEEE Trans Biomed Eng       Date:  2004-05       Impact factor: 4.538

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  3 in total

1.  Contributions of cochlea-scaled entropy and consonant-vowel boundaries to prediction of speech intelligibility in noise.

Authors:  Fei Chen; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2012-05       Impact factor: 1.840

2.  Differential weighting of temporal envelope cues from the low-frequency region for Mandarin sentence recognition in noise.

Authors:  Yang Guo; Zhong Zheng; Keyi Li; Yuanyuan Sun; Liang Xia; Di Qian; Yanmei Feng
Journal:  BMC Neurosci       Date:  2022-06-13       Impact factor: 3.264

3.  A Speech-Level-Based Segmented Model to Decode the Dynamic Auditory Attention States in the Competing Speaker Scenes.

Authors:  Lei Wang; Yihan Wang; Zhixing Liu; Ed X Wu; Fei Chen
Journal:  Front Neurosci       Date:  2022-02-10       Impact factor: 4.677

  3 in total

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