Integration of beamforming and uncertainty-of-observation techniques for robust ASR in multi-source environments

Author:

Astudillo Ramón Fernandez,Kolossa Dorothea,Abad Alberto,Zeiler Steffen,Saeidi Rahim,Mowlaee Pejman,da Silva Neto João Paulo,Martin Rainer

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference39 articles.

1. Astudillo, R.F., 2010. Integration of Short-Time Fourier Domain Speech Enhancement and Observation Uncertainty Techniques for Robust Automatic Speech Recognition. Ph.D. Thesis. Technical University Berlin.

2. Integration of beamforming and automatic speech recognition through propagation of the Wiener posterior;Astudillo,2012

3. An uncertainty propagation approach to robust ASR using the ETSI advanced front-end;Astudillo;IEEE JSTSP Special Issue on Speech Processing for Natural Interaction with Intelligent Environments,2010

4. Uncertainty propagation for speech recognition using RASTA features in highly nonstationary noisy environments;Astudillo,2008

5. Accounting for the uncertainty of speech estimates in the complex domain for minimum mean square error speech enhancement;Astudillo,2009

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1. Uncertain LDA: Including Observation Uncertainties in Discriminative Transforms;IEEE Transactions on Pattern Analysis and Machine Intelligence;2016-07-01

2. Nonparametric Uncertainty Estimation and Propagation for Noise Robust ASR;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2015-11

3. Estimating Uncertainty to Improve Exemplar-Based Feature Enhancement for Noise Robust Speech Recognition;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2014-02

4. An experimental comparison of source separation and beamforming techniques for microphone array signal enhancement;2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP);2013-09

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