Title | ||
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Combining speaker and noise feature normalization techniques for Automatic Speech Recognition |
Abstract | ||
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This work deals with strategies to jointly reduce the speaker and environment mismatches in Automatic Speech Recognition. The consequences of environmental mismatch in the performance of conventional Vocal Tract Length Normalization algorithm are analyzed, observing the sensitivity of the warping factor distributions to the SNR fall. A new combined speaker-noise normalization strategy which reduces the effect of noise in VTLN by applying Histogram Equalization is proposed and experimented in AURORA2 and AU RORA4 databases. Solid results are obtained and discussed to analyze the effectiveness of the described technique. |
Year | DOI | Venue |
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2011 | 10.1109/ICASSP.2011.5947603 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
speaker recognition,speech recognition,AU- RORA4 database,AURORA2 database,SNR,VTLN,automatic speech recognition,combined speaker-noise normalization strategy,histogram equalization,noise feature normalization techniques,vocal tract length normalization algorithm,Combined Strategies,HEQ,Noise Reduction,Speaker Normalization,VTLN | Normalization (statistics),Pattern recognition,Computer science,Speech recognition,Speaker recognition,Natural language processing,Artificial intelligence,Speaker diarisation | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4577-0537-3 | 978-1-4577-0537-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luz García Martínez | 1 | 1 | 1.02 |
M. Carmen Benítez Ortúzar | 2 | 4 | 1.41 |
José C. Segura | 3 | 481 | 38.14 |
Garcia, L. | 4 | 0 | 0.34 |
Benitez, C. | 5 | 0 | 0.34 |
Segura, J.C. | 6 | 0 | 0.34 |
Umesh, S. | 7 | 0 | 0.34 |