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Automatic Speech Recognition

1,796 papers

Papers per year

1
195
118
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Papers

Modifying Amazon’s Alexa ASR Grammar and Lexicon — A Case Study INTERSPEECH 2017
A Rescoring Approach for Keyword Search Using Lattice Context Information INTERSPEECH 2017
Turbo Decoders for Audio-Visual Continuous Speech Recognition INTERSPEECH 2017
Semi-Supervised DNN Training with Word Selection for ASR INTERSPEECH 2017
PRAV: A Phonetically Rich Audio Visual Corpus INTERSPEECH 2017
NTCD-TIMIT: A New Database and Baseline for Noise-Robust Audio-Visual Speech Recognition INTERSPEECH 2017
Schwa Realization in French: Using Automatic Speech Processing to Study Phonological and Socio-Linguistic Factors in Large Corpora INTERSPEECH 2017
Improved Automatic Speech Recognition Using Subband Temporal Envelope Features and Time-Delay Neural Network Denoising Autoencoder INTERSPEECH 2017
Utterance Selection for Optimizing Intelligibility of TTS Voices Trained on ASR Data INTERSPEECH 2017
Automated speech-unit delimitation in spoken learner English COLING 2016
Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling INTERSPEECH 2016
Combining Non-Pathological Data of Different Language Varieties to Improve DNN-HMM Performance on Pathological Speech INTERSPEECH 2016
Audio-Visual Speech Recognition Using Bimodal-Trained Bottleneck Features for a Person with Severe Hearing Loss INTERSPEECH 2016
Personalized, Cross-Lingual TTS Using Phonetic Posteriorgrams INTERSPEECH 2016
Deep Neural Networks for i-Vector Language Identification of Short Utterances in Cars INTERSPEECH 2016
Segmental Recurrent Neural Networks for End-to-End Speech Recognition INTERSPEECH 2016
Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units INTERSPEECH 2016
Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition INTERSPEECH 2016
Stimulated Deep Neural Network for Speech Recognition INTERSPEECH 2016
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks INTERSPEECH 2016
Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model INTERSPEECH 2016
DNN-Based Automatic Speech Recognition as a Model for Human Phoneme Perception INTERSPEECH 2016
Using Phonologically Weighted Levenshtein Distances for the Prediction of Microscopic Intelligibility INTERSPEECH 2016
Directly Comparing the Listening Strategies of Humans and Machines INTERSPEECH 2016
LatticeRnn: Recurrent Neural Networks Over Lattices INTERSPEECH 2016