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» Canonical state models for automatic speech recognition
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ICCPOL
2009
Springer
15 years 4 months ago
Dialogue Strategies to Overcome Speech Recognition Errors in Form-Filling Dialogue
Abstract. In a spoken dialogue system, the speech recognition performance accounts for the largest part of the overall system performance. Yet spontaneous speech recognition has an...
Sangwoo Kang, Songwook Lee, Jungyun Seo
61
Voted
LREC
2010
188views Education» more  LREC 2010»
14 years 11 months ago
Example-Based Automatic Phonetic Transcription
Current state-of-the-art systems for automatic phonetic transcription (APT) are mostly phone recognizers based on Hidden Markov models (HMMs). We present a different approach for ...
Christina Leitner, Martin Schickbichler, Stefan Pe...
ICASSP
2011
IEEE
14 years 1 months ago
Frame-wise HMM adaptation using state-dependent reverberation estimates
A novel frame-wise model adaptation approach for reverberationrobust distant-talking speech recognition is proposed. It adjusts the means of static cepstral features to capture th...
Armin Sehr, Roland Maas, Walter Kellermann
ACL
2008
14 years 11 months ago
A Critical Reassessment of Evaluation Baselines for Speech Summarization
We assess the current state of the art in speech summarization, by comparing a typical summarizer on two different domains: lecture data and the SWITCHBOARD corpus. Our results ca...
Gerald Penn, Xiaodan Zhu
NGC
2010
Springer
116views Communications» more  NGC 2010»
14 years 8 months ago
Speech Structure and Its Application to Robust Speech Processing
Speech communication consists of three steps: production, transmission, and hearing. Every step inevitably involves acoustic distortions due to gender differences, age, microphone...
Nobuaki Minematsu, Satoshi Asakawa, Masayuki Suzuk...