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Latest papers without code

Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition

15 Oct 2019

In the present study, we address this issue by investigating variants of large receptive field CNNs (LRF-CNNs) which include deeply recursive networks, dilated convolutional neural networks, and stacked hourglass networks.

DISTANT SPEECH RECOGNITION

A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition

13 Jun 2018

Speech recognizers trained on close-talking speech do not generalize to distant speech and the word error rate degradation can be as large as 40% absolute.

DATA AUGMENTATION DISTANT SPEECH RECOGNITION DOMAIN ADAPTATION SPEECH ENHANCEMENT

Automatic context window composition for distant speech recognition

26 May 2018

Distant speech recognition is being revolutionized by deep learning, that has contributed to significantly outperform previous HMM-GMM systems.

DISTANT SPEECH RECOGNITION

Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline

27 Mar 2018

This paper describes a new baseline system for automatic speech recognition (ASR) in the CHiME-4 challenge to promote the development of noisy ASR in speech processing communities by providing 1) state-of-the-art system with a simplified single system comparable to the complicated top systems in the challenge, 2) publicly available and reproducible recipe through the main repository in the Kaldi speech recognition toolkit.

DISTANT SPEECH RECOGNITION LANGUAGE MODELLING NOISY SPEECH RECOGNITION SPEECH ENHANCEMENT SPEECH QUALITY

Deep Learning for Distant Speech Recognition

17 Dec 2017

Deep learning is an emerging technology that is considered one of the most promising directions for reaching higher levels of artificial intelligence.

DISTANT SPEECH RECOGNITION

BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition

27 Oct 2017

Despite the remarkable progress achieved on automatic speech recognition, recognizing far-field speeches mixed with various noise sources is still a challenging task.

DENOISING DISTANT SPEECH RECOGNITION TRANSFER LEARNING

Batch-normalized joint training for DNN-based distant speech recognition

24 Mar 2017

Improving distant speech recognition is a crucial step towards flexible human-machine interfaces.

DISTANT SPEECH RECOGNITION SPEECH ENHANCEMENT

A network of deep neural networks for distant speech recognition

23 Mar 2017

Despite the remarkable progress recently made in distant speech recognition, state-of-the-art technology still suffers from a lack of robustness, especially when adverse acoustic conditions characterized by non-stationary noises and reverberation are met.

DISTANT SPEECH RECOGNITION SPEECH ENHANCEMENT

End-to-end attention-based distant speech recognition with Highway LSTM

17 Oct 2016

End-to-end attention-based models have been shown to be competitive alternatives to conventional DNN-HMM models in the Speech Recognition Systems.

DISTANT SPEECH RECOGNITION

Ensemble of Jointly Trained Deep Neural Network-Based Acoustic Models for Reverberant Speech Recognition

17 Aug 2016

Distant speech recognition is a challenge, particularly due to the corruption of speech signals by reverberation caused by large distances between the speaker and microphone.

DISTANT SPEECH RECOGNITION