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Automatic speech recognition with primarily temporal envelope information
Payton Lin
*
, Fei Chen, Syu Siang Wang,
Ying Hui Lai
, Yu Tsao
*
此作品的通信作者
生物醫學工程學系
研究成果
:
Conference article
›
同行評審
2
引文 斯高帕斯(Scopus)
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重量
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Mathematics
Automatic Speech Recognition
100%
Implant
79%
Envelope
55%
Speech Recognition
54%
Markov Model
38%
Computational Methods
36%
Model-based
32%
Human
32%
High-throughput Screening
31%
Speech Processing
29%
Speech
23%
Process Control
21%
Training
19%
Predict
16%
Spectrality
13%
Strategy
12%
Performance
10%
Arts & Humanities
Automatic Speech Recognition
91%
Cochlear Implant
79%
Speech Recognition
58%
Hidden Markov Model (HMM)
48%
Computational
31%
Speech Processing
25%
Human Speech
24%
Mismatch
20%
Spectrality
18%
Carrier
17%
Screening
17%
Performance
6%
Engineering & Materials Science
Speech recognition
50%
Cochlear implants
46%
Computational methods
22%
Hidden Markov models
21%
Speech processing
13%
Screening
10%
Process control
9%
Throughput
7%
Social Sciences
cochlear implants
31%
control process
9%
mismatch
7%
performance
3%