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03/03/2023
End-to-End Speech Recognition: A Survey
In the last decade of automatic speech recognition (ASR) research, the i...
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11/02/2022
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition
This work studies the use of attention masking in transformer transducer...
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03/01/2022
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR
Graph-based temporal classification (GTC), a generalized form of the con...
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11/01/2021
Sequence Transduction with Graph-based Supervision
The recurrent neural network transducer (RNN-T) objective plays a major ...
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10/13/2021
Audio-Visual Scene-Aware Dialog and Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning
In previous work, we have proposed the Audio-Visual Scene-Aware Dialog (...
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10/11/2021
Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy
Pseudo-labeling (PL), a semi-supervised learning (SSL) method where a se...
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08/04/2021
Optimizing Latency for Online Video CaptioningUsing Audio-Visual Transformers
Video captioning is an essential technology to understand scenes and des...
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07/02/2021
Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition
Attention-based end-to-end automatic speech recognition (ASR) systems ha...
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06/16/2021
Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition
Pseudo-labeling (PL) has been shown to be effective in semi-supervised a...
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04/19/2021
Advanced Long-context End-to-end Speech Recognition Using Context-expanded Transformers
This paper addresses end-to-end automatic speech recognition (ASR) for l...
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04/07/2021
Capturing Multi-Resolution Context by Dilated Self-Attention
Self-attention has become an important and widely used neural network co...
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12/23/2020
The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans
This paper describes the recent development of ESPnet (https://github.co...
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11/26/2020
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training
The performance of automatic speech recognition (ASR) systems typically ...
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10/29/2020
Semi-Supervised Speech Recognition via Graph-based Temporal Classification
Semi-supervised learning has demonstrated promising results in automatic...
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09/23/2020
Multi-Pass Transformer for Machine Translation
In contrast with previous approaches where information flows only toward...
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02/14/2020
Unsupervised Speaker Adaptation using Attention-based Speaker Memory for End-to-End ASR
We propose an unsupervised speaker adaptation method inspired by the neu...
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01/08/2020
Streaming automatic speech recognition with the transformer model
Encoder-decoder based sequence-to-sequence models have demonstrated stat...
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09/13/2019
A Comparative Study on Transformer vs RNN in Speech Applications
Sequence-to-sequence models have been widely used in end-to-end speech p...
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06/17/2019
Multi-Stream End-to-End Speech Recognition
Attention-based methods and Connectionist Temporal Classification (CTC) ...
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04/30/2019
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
Sequence-to-sequence ASR models require large quantities of data to atta...
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11/12/2018
Stream attention-based multi-array end-to-end speech recognition
Automatic Speech Recognition (ASR) using multiple microphone arrays has ...
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11/12/2018
Multi-encoder multi-resolution framework for end-to-end speech recognition
Attention-based methods and Connectionist Temporal Classification (CTC) ...
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11/12/2018
Vectorization of hypotheses and speech for faster beam search in encoder decoder-based speech recognition
Attention-based encoder decoder network uses a left-to-right beam search...
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11/07/2018
Analysis of Multilingual Sequence-to-Sequence speech recognition systems
This paper investigates the applications of various multilingual approac...
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11/07/2018
Promising Accurate Prefix Boosting for sequence-to-sequence ASR
In this paper, we present promising accurate prefix boosting (PAPB), a d...
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11/07/2018
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments
Casual conversations involving multiple speakers and noises from surroun...
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11/06/2018
Language model integration based on memory control for sequence to sequence speech recognition
In this paper, we explore several new schemes to train a seq2seq model t...
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11/02/2018
Cycle-consistency training for end-to-end speech recognition
This paper presents a method to train end-to-end automatic speech recogn...
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10/04/2018
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relati...
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08/08/2018
End-to-end Speech Recognition with Word-based RNN Language Models
This paper investigates the impact of word-based RNN language models (RN...
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07/28/2018
Back-Translation-Style Data Augmentation for End-to-End ASR
In this paper we propose a novel data augmentation method for attention-...
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06/21/2018
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features
Dialog systems need to understand dynamic visual scenes in order to have...
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05/15/2018
A Purely End-to-end System for Multi-speaker Speech Recognition
Recently, there has been growing interest in multi-speaker speech recogn...
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03/30/2018
ESPnet: End-to-End Speech Processing Toolkit
This paper introduces a new open source platform for end-to-end speech p...
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06/22/2017
End-to-end Conversation Modeling Track in DSTC6
End-to-end training of neural networks is a promising approach to automa...
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06/08/2017
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM
We present a state-of-the-art end-to-end Automatic Speech Recognition (A...
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03/14/2017
Multichannel End-to-end Speech Recognition
The field of speech recognition is in the midst of a paradigm shift: end...
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01/11/2017
