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A Comparative Study of Spatial Speech Separation Techniques to Improve Speech Recognition.

, , , , , and . ISNN, volume 10878 of Lecture Notes in Computer Science, page 494-502. Springer, (2018)

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Investigations on speaker adaptation of LSTM RNN models for speech recognition., , , and . ICASSP, page 5020-5024. IEEE, (2016)Normalization of ASR confidence classifier scores via confidence mapping., , and . INTERSPEECH, page 1199-1203. ISCA, (2014)Confidence-features and confidence-scores for ASR applications in arbitration and DNN speaker adaptation., , , , , and . INTERSPEECH, page 702-706. ISCA, (2015)Sequence-Level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models., , and . Interspeech, page 4084-4088. ISCA, (2021)Delta-melspectra features for noise robustness to DNN-based ASR systems., , and . INTERSPEECH, page 2445-2448. ISCA, (2015)Extended low-rank plus diagonal adaptation for deep and recurrent neural networks., , , and . ICASSP, page 5040-5044. IEEE, (2017)A Comparative Study of Spatial Speech Separation Techniques to Improve Speech Recognition., , , , , and . ISNN, volume 10878 of Lecture Notes in Computer Science, page 494-502. Springer, (2018)A Spectro-Temporal Framework for Compensation of Reverberation for Speech Recognition.. Carnegie Mellon University, USA, (2011)An iterative least-squares technique for dereverberation., , , and . ICASSP, page 5488-5491. IEEE, (2011)Profile View Lip Reading., , and . ICASSP (4), page 429-432. IEEE, (2007)