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09/19/2023
Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition
In this paper, we explored how to boost speech emotion recognition (SER)...
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09/18/2023
Improved Factorized Neural Transducer Model For text-only Domain Adaptation
End-to-end models, such as the neural Transducer, have been successful i...
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09/14/2023
Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer
In spite of the excellent strides made by end-to-end (E2E) models in spe...
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09/14/2023
Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS
Self-supervised learning (SSL) proficiency in speech-related tasks has d...
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09/10/2023
VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching
Although diffusion models in text-to-speech have become a popular choice...
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08/28/2023
Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition
In recent years, speech-based self-supervised learning (SSL) has made si...
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06/25/2023
DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech
Although high-fidelity speech can be obtained for intralingual speech sy...
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06/23/2023
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems
Current ASR systems are mainly trained and evaluated at the utterance le...
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06/15/2023
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation
The excellent generalization ability of self-supervised learning (SSL) f...
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06/14/2023
Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation
Recently, end-to-end (E2E) automatic speech recognition (ASR) models hav...
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06/13/2023
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
The utilization of discrete speech tokens, divided into semantic tokens ...
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03/09/2023
Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation
Audio-driven talking face has attracted broad interest from academia and...
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02/18/2023
Front-End Adapter: Adapting Front-End Input of Speech based Self-Supervised Learning for Speech Recognition
Recent years have witnessed a boom in self-supervised learning (SSL) in ...
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12/20/2022
Exploring Effective Fusion Algorithms for Speech Based Self-Supervised Learning Models
Self-supervised learning (SSL) has achieved great success in various are...
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11/17/2022
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance
Although current neural text-to-speech (TTS) models are able to generate...
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11/17/2022
LongFNT: Long-form Speech Recognition with Factorized Neural Transducer
Traditional automatic speech recognition (ASR) systems usually focus on ...
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11/14/2022
MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets
In this paper, we provide a new perspective on self-supervised speech mo...
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10/27/2022
Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition
Recent years have witnessed great strides in self-supervised learning (S...
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04/02/2022
VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature
The mainstream neural text-to-speech(TTS) pipeline is a cascade system, ...
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11/29/2021
Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of Multipliers
The high memory consumption and computational costs of Recurrent neural ...
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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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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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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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11/03/2020
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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10/22/2020
Developing Real-time Streaming Transformer Transducer for Speech Recognition on Large-scale Dataset
Recently, Transformer based end-to-end models have achieved great succes...
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10/21/2020
LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
LSTM language models (LSTM-LMs) have been proven to be powerful and yiel...
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06/16/2020
Memory-Efficient Pipeline-Parallel DNN Training
Many state-of-the-art results in domains such as NLP and computer vision...
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11/11/2019
Long-span language modeling for speech recognition
We explore neural language modeling for speech recognition where the con...
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02/01/2018
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription
State-of-the-art English automatic speech recognition systems typically ...
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08/18/2017