Cover Image

Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Changye, Xu, Weizhe, Cohen, Trevor, Pakhomov, Serguei
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Sound Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UCorrect: An Unsupervised Framework for Automatic Speech Recognition Error Correction
by: Guo, Jiaxin, et al.
Published: (2024)

Automatic Speech Recognition System-Independent Word Error Rate Estimation
by: Park, Chanho, et al.
Published: (2024)

Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models
by: Frieske, Rita, et al.
Published: (2024)

Speaker-Aware Simulation Improves Conversational Speech Recognition
by: Gedeon, Máté, et al.
Published: (2026)

Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language Models
by: Tang, Zhiyuan, et al.
Published: (2024)

Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction
by: Ko, Yuka, et al.
Published: (2024)

Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition
by: Shu, Yuchun, et al.
Published: (2024)

Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection
by: Lin, Hsi-Che, et al.
Published: (2024)

Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis
by: Do, Cong-Thanh, et al.
Published: (2024)

Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs
by: Zhang, Enshi, et al.
Published: (2024)

Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?
by: Aldeneh, Zakaria, et al.
Published: (2024)

Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text
by: Li, Jinpeng, et al.
Published: (2024)

Improving Practical Aspects of End-to-End Multi-Talker Speech Recognition for Online and Offline Scenarios
by: Subramanian, Aswin Shanmugam, et al.
Published: (2025)

The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?
by: Adedeji, Ayo, et al.
Published: (2025)

Joint Automatic Speech Recognition And Structure Learning For Better Speech Understanding
by: Hu, Jiliang, et al.
Published: (2025)

Voice Biomarker Analysis and Automated Severity Classification of Dysarthric Speech in a Multilingual Context
by: Yeo, Eunjung
Published: (2024)

Unimodal Aggregation for CTC-based Speech Recognition
by: Fang, Ying, et al.
Published: (2023)

Crossmodal ASR Error Correction with Discrete Speech Units
by: Li, Yuanchao, et al.
Published: (2024)

MF-AED-AEC: Speech Emotion Recognition by Leveraging Multimodal Fusion, Asr Error Detection, and Asr Error Correction
by: He, Jiajun, et al.
Published: (2024)

Improving the Inclusivity of Dutch Speech Recognition by Fine-tuning Whisper on the JASMIN-CGN Corpus
by: Shekoufandeh, Golshid, et al.
Published: (2025)

Automatic Speech Recognition for Hindi
by: Saha, Anish, et al.
Published: (2024)

SpeechTaxi: On Multilingual Semantic Speech Classification
by: Keller, Lennart, et al.
Published: (2024)

Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition
by: Zhang, Zixing, et al.
Published: (2024)

Speech Recognition Rescoring with Large Speech-Text Foundation Models
by: Shivakumar, Prashanth Gurunath, et al.
Published: (2024)

Automatic Speech Recognition Biases in Newcastle English: an Error Analysis
by: Serditova, Dana, et al.
Published: (2025)

Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques
by: Li, Yuanchao, et al.
Published: (2024)

Coupling Speech Encoders with Downstream Text Models
by: Chelba, Ciprian, et al.
Published: (2024)

Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
by: Chen, Weidong, et al.
Published: (2023)

Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge
by: Tao, Fuxiang, et al.
Published: (2024)

Luganda Speech Intent Recognition for IoT Applications
by: Katumba, Andrew, et al.
Published: (2024)

Word Level Timestamp Generation for Automatic Speech Recognition and Translation
by: Hu, Ke, et al.
Published: (2025)

From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
by: Wang, Tianduo, et al.
Published: (2025)

ContextASR-Bench: A Massive Contextual Speech Recognition Benchmark
by: Wang, He, et al.
Published: (2025)

VHASR: A Multimodal Speech Recognition System With Vision Hotwords
by: Hu, Jiliang, et al.
Published: (2024)

Swedish Whispers; Leveraging a Massive Speech Corpus for Swedish Speech Recognition
by: Vesterbacka, Leonora, et al.
Published: (2025)

Inappropriate Pause Detection In Dysarthric Speech Using Large-Scale Speech Recognition
by: Lee, Jeehyun, et al.
Published: (2024)

Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition
by: Wang, Yujin, et al.
Published: (2022)

Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition
by: Cornell, Samuele, et al.
Published: (2024)

Dynamic Data Pruning for Automatic Speech Recognition
by: Xiao, Qiao, et al.
Published: (2024)

On the Contribution of Lexical Features to Speech Emotion Recognition
by: Combei, David
Published: (2025)