Search Results for author: Tianzi Wang

Found 25 papers, 3 papers with code

Perceiver-Prompt: Flexible Speaker Adaptation in Whisper for Chinese Disordered Speech Recognition

no code implementations14 Jun 2024 Yicong Jiang, Tianzi Wang, Xurong Xie, Juan Liu, Wei Sun, Nan Yan, Hui Chen, Lan Wang, Xunying Liu, Feng Tian

Disordered speech recognition profound implications for improving the quality of life for individuals afflicted with, for example, dysarthria.

Towards Effective and Efficient Non-autoregressive Decoding Using Block-based Attention Mask

no code implementations14 Jun 2024 Tianzi Wang, Xurong Xie, Zhaoqing Li, Shoukang Hu, Zengrui Jing, Jiajun Deng, Mingyu Cui, Shujie Hu, Mengzhe Geng, Guinan Li, Helen Meng, Xunying Liu

This paper proposes a novel non-autoregressive (NAR) block-based Attention Mask Decoder (AMD) that flexibly balances performance-efficiency trade-offs for Conformer ASR systems.

Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition

no code implementations6 Jul 2023 Guinan Li, Jiajun Deng, Mengzhe Geng, Zengrui Jin, Tianzi Wang, Shujie Hu, Mingyu Cui, Helen Meng, Xunying Liu

Accurate recognition of cocktail party speech containing overlapping speakers, noise and reverberation remains a highly challenging task to date.

Speech Dereverberation Speech Separation

Use of Speech Impairment Severity for Dysarthric Speech Recognition

no code implementations18 May 2023 Mengzhe Geng, Zengrui Jin, Tianzi Wang, Shujie Hu, Jiajun Deng, Mingyu Cui, Guinan Li, Jianwei Yu, Xurong Xie, Xunying Liu

A key challenge in dysarthric speech recognition is the speaker-level diversity attributed to both speaker-identity associated factors such as gender, and speech impairment severity.

severity prediction speech-recognition +1

Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems

1 code implementation15 Feb 2023 Jiajun Deng, Xurong Xie, Tianzi Wang, Mingyu Cui, Boyang Xue, Zengrui Jin, Guinan Li, Shujie Hu, Xunying Liu

Practical application of unsupervised model-based speaker adaptation techniques to data intensive end-to-end ASR systems is hindered by the scarcity of speaker-level data and performance sensitivity to transcription errors.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Adversarial Data Augmentation Using VAE-GAN for Disordered Speech Recognition

no code implementations3 Nov 2022 Zengrui Jin, Xurong Xie, Mengzhe Geng, Tianzi Wang, Shujie Hu, Jiajun Deng, Guinan Li, Xunying Liu

After LHUC speaker adaptation, the best system using VAE-GAN based augmentation produced an overall WER of 27. 78% on the UASpeech test set of 16 dysarthric speakers, and the lowest published WER of 57. 31% on the subset of speakers with "Very Low" intelligibility.

Data Augmentation Generative Adversarial Network +2

Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition

no code implementations15 Jun 2022 Shujie Hu, Xurong Xie, Mengzhe Geng, Mingyu Cui, Jiajun Deng, Guinan Li, Tianzi Wang, Xunying Liu, Helen Meng

Articulatory features are inherently invariant to acoustic signal distortion and have been successfully incorporated into automatic speech recognition (ASR) systems designed for normal speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition

no code implementations13 May 2022 Zengrui Jin, Mengzhe Geng, Jiajun Deng, Tianzi Wang, Shujie Hu, Guinan Li, Xunying Liu

Despite the rapid progress of automatic speech recognition (ASR) technologies targeting normal speech, accurate recognition of dysarthric and elderly speech remains highly challenging tasks to date.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech Recognition

no code implementations19 Mar 2022 Shujie Hu, Shansong Liu, Xurong Xie, Mengzhe Geng, Tianzi Wang, Shoukang Hu, Mingyu Cui, Xunying Liu, Helen Meng

Articulatory features are inherently invariant to acoustic signal distortion and have been successfully incorporated into automatic speech recognition (ASR) systems for normal speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition

no code implementations21 Feb 2022 Mengzhe Geng, Xurong Xie, Zi Ye, Tianzi Wang, Guinan Li, Shujie Hu, Xunying Liu, Helen Meng

Motivated by the spectro-temporal level differences between dysarthric, elderly and normal speech that systematically manifest in articulatory imprecision, decreased volume and clarity, slower speaking rates and increased dysfluencies, novel spectrotemporal subspace basis deep embedding features derived using SVD speech spectrum decomposition are proposed in this paper to facilitate auxiliary feature based speaker adaptation of state-of-the-art hybrid DNN/TDNN and end-to-end Conformer speech recognition systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation

no code implementations11 Oct 2021 Yosuke Higuchi, Nanxin Chen, Yuya Fujita, Hirofumi Inaguma, Tatsuya Komatsu, Jaesong Lee, Jumon Nozaki, Tianzi Wang, Shinji Watanabe

Non-autoregressive (NAR) models simultaneously generate multiple outputs in a sequence, which significantly reduces the inference speed at the cost of accuracy drop compared to autoregressive baselines.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Cannot find the paper you are looking for? You can Submit a new open access paper.