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09/14/2023
Hybrid Attention-based Encoder-decoder Model for Efficient Language Model Adaptation
Attention-based encoder-decoder (AED) speech recognition model has been ...
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04/30/2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Rehearsal-based approaches are a mainstay of continual learning (CL). Th...
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03/13/2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Numerous adversarial attack methods have been developed to generate impe...
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03/01/2023
Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Training
We propose gated language experts to improve multilingual transformer tr...
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12/09/2022
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management
During the deployment of deep neural networks (DNNs) on edge devices, ma...
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11/22/2022
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
As data become increasingly vital for deep learning, a company would be ...
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11/07/2022
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition
Automatic Speech Recognition (ASR) systems typically yield output in lex...
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03/26/2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
It has been well recognized that neural network based image classifiers ...
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01/24/2022
Endpoint Detection for Streaming End-to-End Multi-talker ASR
Streaming end-to-end multi-talker speech recognition aims at transcribin...
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10/10/2021
Have best of both worlds: two-pass hybrid and E2E cascading framework for speech recognition
Hybrid and end-to-end (E2E) systems have their individual advantages, wi...
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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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09/23/2021
Joint speaker diarisation and tracking in switching state-space model
Speakers may move around while diarisation is being performed. When a mi...
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09/22/2021
Diarisation using location tracking with agglomerative clustering
Previous works have shown that spatial location information can be compl...
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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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04/27/2021
On Addressing Practical Challenges for RNN-Transducer
In this paper, several works are proposed to address practical challenge...
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04/05/2021
Streaming Multi-talker Speech Recognition with Joint Speaker Identification
In multi-talker scenarios such as meetings and conversations, speech pro...
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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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11/26/2020
Streaming end-to-end multi-talker speech recognition
End-to-end multi-talker speech recognition is an emerging research trend...
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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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10/22/2020
Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020
This paper describes the Microsoft speaker diarization system for monaur...
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10/20/2020
Speaker Separation Using Speaker Inventories and Estimated Speech
We propose speaker separation using speaker inventories and estimated sp...
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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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05/19/2020
Exploring Transformers for Large-Scale Speech Recognition
While recurrent neural networks still largely define state-of-the-art sp...
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05/01/2020
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition
Recently, the recurrent neural network transducer (RNN-T) architecture h...
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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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04/10/2020
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR
Recently, a few novel streaming attention-based sequence-to-sequence (S2...
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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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03/13/2020
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework
To facilitate the deployment of deep neural networks (DNNs) on resource-...
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02/19/2020
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
Recurrent neural networks (RNNs) based automatic speech recognition has ...
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01/23/2020
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency
Structured weight pruning is a representative model compression techniqu...
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01/23/2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method
Accelerating DNN execution on various resource-limited computing platfor...
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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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12/10/2019
Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
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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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09/26/2019
Improving RNN Transducer Modeling for End-to-End Speech Recognition
In the last few years, an emerging trend in automatic speech recognition...
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09/09/2019
Self-Teaching Networks
We propose self-teaching networks to improve the generalization capacity...
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07/12/2019
Pykaldi2: Yet another speech toolkit based on Kaldi and Pytorch
We introduce PyKaldi2 speech recognition toolkit implemented based on Ka...
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05/11/2019
Encrypted Speech Recognition using Deep Polynomial Networks
The cloud-based speech recognition/API provides developers or enterprise...
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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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01/04/2019
Speaker Adaptation for End-to-End CTC Models
We propose two approaches for speaker adaptation in end-to-end (E2E) aut...
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12/31/2018
Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units
The acoustic-to-word model based on the Connectionist Temporal Classific...
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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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08/28/2018
Layer Trajectory LSTM
It is popular to stack LSTM layers to get better modeling power, especia...
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04/14/2018
