An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems

Kellermann W, Hümmer C, Astudillo RF (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 31-35

Event location: San Francisco US

ISBN: 978-1-5090-5925-6

DOI: 10.1109/HSCMA.2017.7895556

Abstract

In this paper, we improve a recently-proposed uncertainty decoding scheme for DNN-HMM (deep neural network - hidden Markov model) hybrid systems, which models acoustic features as random variables. This uncertainty decoding strategy averages DNN outputs produced by a finite set of feature samples to approximate the posterior likelihoods of the context-dependent HMM states. As main innovation, we propose a weighted (instead of arithmetic) DNN-output averaging based on a minimum classification error criterion and apply it to a new probabilistic distortion model for multi-channel front-end signal enhancement schemes. The experimental evaluation is performed on the 8-channel REVERB Challenge task using a DNN-HMM hybrid system with spatial filtering of the microphone signals. It is shown that the recognition accuracy of the DNN-HMM hybrid system improves by incorporating uncertainty decoding and that the proposed weighted DNN-output averaging further reduces the word error rate scores

Authors with CRIS profile

Walter Kellermann Professur für Signalverarbeitung Christian Hümmer Professur für Signalverarbeitung

Involved external institutions

Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID) PT Portugal (PT)

How to cite

APA:

Kellermann, W., Hümmer, C., & Astudillo, R.F. (2017). An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems. In Proceedings of the Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA) (pp. 31-35). San Francisco, US.

MLA:

Kellermann, Walter, Christian Hümmer, and Ramón Fernández Astudillo. "An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems." Proceedings of the Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), San Francisco 2017. 31-35.

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