Large Vocabulary Continuous Speech Recognition

10 papers with code • 0 benchmarks • 0 datasets

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Greatest papers with code

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.

Large Vocabulary Continuous Speech Recognition Speech Recognition

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

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 Large Vocabulary Continuous Speech Recognition +1

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.

automatic-speech-recognition Large Vocabulary Continuous Speech Recognition +1

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.

Large Vocabulary Continuous Speech Recognition Speech Recognition

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

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.

automatic-speech-recognition Large Vocabulary Continuous Speech Recognition +1

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).

Large Vocabulary Continuous Speech Recognition Speech Recognition +1

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.

automatic-speech-recognition Large Vocabulary Continuous Speech Recognition +3