Large Vocabulary Continuous Speech Recognition

10 papers with code • 0 benchmarks • 0 datasets

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Latest papers with code

Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition

georgesterpu/Sigmedia-AVSR 5 Sep 2018

Automatic speech recognition can potentially benefit from the lip motion patterns, complementing acoustic speech to improve the overall recognition performance, particularly in noise.

Large Vocabulary Continuous Speech Recognition Speech Recognition

60
05 Sep 2018

Word Error Rate Estimation for Speech Recognition: e-WER

qcri/e-wer ACL 2018

Measuring the performance of automatic speech recognition (ASR) systems requires manually transcribed data in order to compute the word error rate (WER), which is often time-consuming and expensive.

Language Modelling Large Vocabulary Continuous Speech Recognition +3

3
01 Jul 2018

A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task

OrcusCZ/NNAcousticModeling 19 Jun 2018

In this survey paper, we have evaluated several recent deep neural network (DNN) architectures on a TIMIT phone recognition task.

Large Vocabulary Continuous Speech Recognition Speech Recognition

22
19 Jun 2018

Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task

OrcusCZ/NNAcousticModeling 19 Jun 2018

Also, we prefer the phone recognition task because it is much more sensitive to an acoustic model quality than a large vocabulary continuous speech recognition task.

Large Vocabulary Continuous Speech Recognition Speech Recognition

22
19 Jun 2018

Deep-FSMN for Large Vocabulary Continuous Speech Recognition

yangxueruivs/DFSMN 4 Mar 2018

In a 20000 hours Mandarin recognition task, the LFR trained DFSMN can achieve more than 20% relative improvement compared to the LFR trained BLSTM.

Language Modelling Large Vocabulary Continuous Speech Recognition +1

39
04 Mar 2018

A segmental framework for fully-unsupervised large-vocabulary speech recognition

kamperh/bucktsong_segmentalist 22 Jun 2016

We also show that the discovered clusters can be made less speaker- and gender-specific by using an unsupervised autoencoder-like feature extractor to learn better frame-level features (prior to embedding).

Language Modelling Large Vocabulary Continuous Speech Recognition +2

8
22 Jun 2016

End-to-End Attention-based Large Vocabulary Speech Recognition

rizar/attention-lvcsr 18 Aug 2015

Many of the current state-of-the-art Large Vocabulary Continuous Speech Recognition Systems (LVCSR) are hybrids of neural networks and Hidden Markov Models (HMMs).

Acoustic Modelling Language Modelling +2

257
18 Aug 2015

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

baidu-research/warp-ctc 12 Aug 2014

This approach to decoding enables first-pass speech recognition with a language model, completely unaided by the cumbersome infrastructure of HMM-based systems.

Language Modelling Large Vocabulary Continuous Speech Recognition +1

3,920
12 Aug 2014

Building DNN Acoustic Models for Large Vocabulary Speech Recognition

pannous/caffe-speech-recognition 30 Jun 2014

We compare standard DNNs to convolutional networks, and present the first experiments using locally-connected, untied neural networks for acoustic modeling.

Large Vocabulary Continuous Speech Recognition Speech Recognition

323
30 Jun 2014

A Toolkit for Efficient Learning of Lexical Units for Speech Recognition

aalto-speech/ftk LREC 2014

String segmentation is an important and recurring problem in natural language processing and other domains.

Information Retrieval Language Modelling +3

3
01 May 2014