scholarly journals Introduction of the speaking rate in the model of speech recognition

2002 ◽  
Author(s):  
A. Yousfi ◽  
A. Meziane
Keyword(s):  
Speech Recognition ◽  
Speaking Rate

A phoneme duration model considering speaking‐rate and linguistic features for speech recognition

2006 ◽  
Vol 120 (5) ◽  
pp. 3041-3041
Author(s):  
Yuichi Ohkawa ◽  
Akinori Ito ◽  
Motoyuki Suzuki ◽  
Shozo Makino
Keyword(s):  
Speech Recognition ◽  
Speaking Rate ◽  
Duration Model ◽  
Linguistic Features

Measure of local speaking-rate for automatic speech recognition

1999 ◽  
Vol 35 (10) ◽  
pp. 787
Author(s):  
M.J. Russell ◽  
K.M. Ponting ◽  
M.J. Tomlinson
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Speaking Rate

scholarly journals Introduction of the speaking rate in the model of speech recognition

2002 ◽  
Vol 29 (2) ◽  
pp. 121-124
Author(s):  
Abdellah Yousfi ◽  
Abdelouafi Meziane
Keyword(s):  
Speech Recognition ◽  
Speaking Rate ◽  
Post Processing ◽  
Processing Step ◽  
Sound Duration

We propose an improvement to the centisecond TLHMM model (Meziane, 1999) applied to the sound duration. Indeed, the distribution of the sound duration depends on the speaking rate. An adaptation in a post-processing step is needed. This adaptation is studied by proposing a model of the speaking rate based on average syllabic duration. The experiments elaborated on a set of BDSONS show the interest of this approach. This work is a continuation of those by Meziane (1999) and Suaudeau (1994).

Effect of Speaking Rate on Chinese Speech Recognition for Foreign Students

2013 ◽  
Vol 333-335 ◽  
pp. 775-778
Author(s):  
Shui Hui Cui ◽  
Jian Xin Peng
Keyword(s):  
Speech Recognition ◽  
Foreign Students ◽  
Speaking Rate ◽  
Reverberation Time ◽  
Impulse Responses ◽  
Method Effect

Three room impulse responses with different reverberation time in mid-frequency were obtained at a listening position from a classroom model through room acoustical simulation. Chinese speech recognition for foreign students was performed under different speaking rate conditions using auralization method. Effect of reverberation time and speaking rate on Chinese speech recognition for foreign students was investigated. The results showed that reverberation time and speaking rate had a significant effect on Chinese recognition scores of foreign students. The shorter the reverberation time was and the slower the speaking rate was, the higher Chinese recognition scores of foreign students were. The longer the reverberation time was and the faster the speaking rate was, the lower Chinese recognition scores of foreign students were.

Studying the role of pitch-adaptive spectral estimation and speaking-rate normalization in automatic speech recognition

2018 ◽  
Vol 79 ◽  
pp. 142-151 ◽  
Author(s):  
S. Shahnawazuddin ◽  
Nagaraj Adiga ◽  
Hemant K. Kathania ◽  
Gaydhar Pradhan ◽  
Rohit Sinha
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Spectral Estimation ◽  
Speaking Rate
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