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09/15/2023
Augmenting conformers with structured state space models for online speech recognition
Online speech recognition, where the model only accesses context to the ...
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08/11/2023
Improving Joint Speech-Text Representations Without Alignment
The last year has seen astonishing progress in text-prompted image gener...
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03/02/2023
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
We introduce the Universal Speech Model (USM), a single large model that...
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02/16/2023
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition
We propose JEIT, a joint end-to-end (E2E) model and internal language mo...
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10/31/2022
Modular Hybrid Autoregressive Transducer
Text-only adaptation of a transducer model remains challenging for end-t...
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03/30/2022
Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings
This paper presents a streaming speaker-attributed automatic speech reco...
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02/02/2022
Streaming Multi-Talker ASR with Token-Level Serialized Output Training
This paper proposes a token-level serialized output training (t-SOT), a ...
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10/28/2021
Continuous Speech Separation with Recurrent Selective Attention Network
While permutation invariant training (PIT) based continuous speech separ...
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10/27/2021
Separating Long-Form Speech with Group-Wise Permutation Invariant Training
Multi-talker conversational speech processing has drawn many interests f...
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10/07/2021
Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR
This paper presents Transcribe-to-Diarize, a new approach for neural spe...
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10/06/2021
Internal Language Model Adaptation with Text-Only Data for End-to-End Speech Recognition
Text-only adaptation of an end-to-end (E2E) model remains a challenging ...
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09/27/2021
Factorized Neural Transducer for Efficient Language Model Adaptation
In recent years, end-to-end (E2E) based automatic speech recognition (AS...
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07/06/2021
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
Speaker-attributed automatic speech recognition (SA-ASR) is a task to re...
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06/04/2021
Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition
Integrating external language models (LMs) into end-to-end (E2E) models ...
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04/05/2021
End-to-End Speaker-Attributed ASR with Transformer
This paper presents our recent effort on end-to-end speaker-attributed a...
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03/31/2021
Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone
Transcribing meetings containing overlapped speech with only a single di...
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03/03/2021
Continuous Speech Separation with Ad Hoc Microphone Arrays
Speech separation has been shown effective for multi-talker speech recog...
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02/02/2021
Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
The efficacy of external language model (LM) integration with existing e...
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01/06/2021
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings
An end-to-end (E2E) speaker-attributed automatic speech recognition (SA-...
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11/05/2020
Exploring End-to-End Multi-channel ASR with Bias Information for Meeting Transcription
Joint optimization of multi-channel front-end and automatic speech recog...
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11/03/2020
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR
Recently, an end-to-end speaker-attributed automatic speech recognition ...
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11/03/2020
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
The external language models (LM) integration remains a challenging task...
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10/23/2020
On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer
Hybrid Autoregressive Transducer (HAT) is a recently proposed end-to-end...
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08/11/2020
Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings
Recently, an end-to-end (E2E) speaker-attributed automatic speech recogn...
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07/30/2020
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability
Because of its streaming nature, recurrent neural network transducer (RN...
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06/19/2020
Joint Speaker Counting, Speech Recognition, and Speaker Identification for Overlapped Speech of Any Number of Speakers
We propose an end-to-end speaker-attributed automatic speech recognition...
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04/25/2020
Active Voice Authentication
Active authentication refers to a new mode of identity verification in w...
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04/25/2020
L-Vector: Neural Label Embedding for Domain Adaptation
We propose a novel neural label embedding (NLE) scheme for the domain ad...
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03/28/2020
Serialized Output Training for End-to-End Overlapped Speech Recognition
This paper proposes serialized output training (SOT), a novel framework ...
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03/17/2020
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model
While the community keeps promoting end-to-end models over conventional ...
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01/30/2020
Continuous speech separation: dataset and analysis
This paper describes a dataset and protocols for evaluating continuous s...
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01/06/2020
Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition
Teacher-student (T/S) has shown to be effective for domain adaptation of...
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01/06/2020
Character-Aware Attention-Based End-to-End Speech Recognition
Predicting words and subword units (WSUs) as the output has shown to be ...
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11/09/2019
Speaker Adaptation for Attention-Based End-to-End Speech Recognition
We propose three regularization-based speaker adaptation approaches to a...
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04/29/2019
Adversarial Speaker Adaptation
We propose a novel adversarial speaker adaptation (ASA) scheme, in which...
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04/29/2019
Adversarial Speaker Verification
The use of deep networks to extract embeddings for speaker recognition h...
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04/28/2019
Attentive Adversarial Learning for Domain-Invariant Training
Adversarial domain-invariant training (ADIT) proves to be effective in s...
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04/28/2019
Conditional Teacher-Student Learning
The teacher-student (T/S) learning has been shown to be effective for a ...
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09/06/2018
Cycle-Consistent Speech Enhancement
Feature mapping using deep neural networks is an effective approach for ...
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09/06/2018
Adversarial Feature-Mapping for Speech Enhancement
Feature-mapping with deep neural networks is commonly used for single-ch...
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04/02/2018
Speaker-Invariant Training via Adversarial Learning
We propose a novel adversarial multi-task learning scheme, aiming at act...
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04/02/2018
Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation
The teacher-student (T/S) learning has been shown effective in unsupervi...
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11/21/2017
Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition
Far-field speech recognition in noisy and reverberant conditions remains...
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11/21/2017
