Title:

Pushing the Envelope — Aside

Author(s):

Morgan, Nelson
Zhu, Qifeng
Stolcke, Andreas
Sönmez, Kemal
Sivadas, Sunil
Shinozaki, Takahiro
Ostendorf, Mari
Jain, Pratibha
Hermansky, Hynek
Ellis, Daniel P. W.
Doddington, George
Chen, Barry
Çetin, Özgür
Bourlard, Hervé
Athineos, Marios

Date:

2005

Type:

Articles

Department:

Electrical Engineering

Volume:

22

Permanent URL:

http://hdl.handle.net/10022/AC:P:12566

Book/Journal Title:

IEEE Signal Processing Magazine

Abstract:

Despite successes, there are still significant limitations to speech recognition performance, particularly for conversational speech and/or for speech with significant acoustic degradations from noise or reverberation. For this reason, authors have proposed methods that incorporate different (and larger) analysis windows, which are described in this article. Note in passing that we and many others have already taken advantage of processing techniques that incorporate information over long time ranges, for instance for normalization (by cepstral mean subtraction as stated in B. Atal (1974) or relative spectral analysis (RASTA) based in H. Hermansky and N. Morgan (1994)). They also have proposed features that are based on speech sound class posterior probabilities, which have good properties for both classification and stream combination.

Subject(s):

Artificial intelligence
Communication

DOI:

http://dx.doi.org/10.1109/MSP.2005.1511826

Item views:

36

Metadata:

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