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09/21/2023
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
Current speaker recognition systems primarily rely on supervised approac...
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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
Complexity Scaling for Speech Denoising
Computational complexity is critical when deploying deep learning-based ...
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08/21/2023
Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression
Echo cancellation and noise reduction are essential for full-duplex comm...
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08/19/2023
Bayes Risk Transducer: Transducer with Controllable Alignment Prediction
Automatic speech recognition (ASR) based on transducers is widely used. ...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Cinematic Demixing Track
This paper summarizes the cinematic demixing (CDX) track of the Sound De...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Music Demixing Track
This paper summarizes the music demixing (MDX) track of the Sound Demixi...
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05/18/2023
Use of Speech Impairment Severity for Dysarthric Speech Recognition
A key challenge in dysarthric speech recognition is the speaker-level di...
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11/04/2022
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
Expressive text-to-speech (TTS) can synthesize a new speaking style by i...
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10/14/2022
Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence tasks
Sequence-to-Sequence (seq2seq) tasks transcribe the input sequence to a ...
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09/30/2022
Music Source Separation with Band-split RNN
The performance of music source separation (MSS) models has been greatly...
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08/08/2022
FRA-RIR: Fast Random Approximation of the Image-source Method
The training of modern speech processing systems often requires a large ...
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07/20/2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Generating sound effects that humans want is an important topic. However...
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06/05/2022
LAE: Language-Aware Encoder for Monolingual and Multilingual ASR
Despite the rapid progress in automatic speech recognition (ASR) researc...
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04/05/2022
Audio-visual multi-channel speech separation, dereverberation and recognition
Despite the rapid advance of automatic speech recognition (ASR) technolo...
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04/02/2022
Improving Target Sound Extraction with Timestamp Information
Target sound extraction (TSE) aims to extract the sound part of a target...
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03/29/2022
Integrate Lattice-Free MMI into End-to-End Speech Recognition
In automatic speech recognition (ASR) research, discriminative criteria ...
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03/28/2022
On-the-fly Feature Based Speaker Adaptation for Dysarthric and Elderly Speech Recognition
Automatic recognition of dysarthric and elderly speech highly challengin...
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01/15/2022
Recent Progress in the CUHK Dysarthric Speech Recognition System
Despite the rapid progress of automatic speech recognition (ASR) technol...
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01/14/2022
Investigation of Data Augmentation Techniques for Disordered Speech Recognition
Disordered speech recognition is a highly challenging task. The underlyi...
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01/14/2022
Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition
Automatic recognition of disordered speech remains a highly challenging ...
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01/08/2022
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks
State-of-the-art automatic speech recognition (ASR) system development i...
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01/06/2022
Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model
Despite the rapid progress of end-to-end (E2E) automatic speech recognit...
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12/05/2021
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI
Recently, End-to-End (E2E) frameworks have achieved remarkable results o...
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11/29/2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition
State-of-the-art language models (LMs) represented by long-short term me...
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11/29/2021
Mixed Precision DNN Qunatization for Overlapped Speech Separation and Recognition
Recognition of overlapped speech has been a highly challenging task to d...
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11/29/2021
Mixed Precision of Quantization of Transformer Language Models for Speech Recognition
State-of-the-art neural language models represented by Transformers are ...
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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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08/30/2021
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding
Language understanding in speech-based systems have attracted much atten...
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08/02/2021
Adversarial Data Augmentation for Disordered Speech Recognition
Automatic recognition of disordered speech remains a highly challenging ...
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02/09/2021
Bayesian Transformer Language Models for Speech Recognition
State-of-the-art neural language models (LMs) represented by Transformer...
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04/08/2020
Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification
Speaker verification systems usually suffer from the mismatch problem be...
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01/06/2020
Audio-visual Recognition of Overlapped speech for the LRS2 dataset
Automatic recognition of overlapped speech remains a highly challenging ...
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11/08/2019