Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition

Kwangyoun Kim; Suwon Shon; Yi‐Te Hsu; Prashant Sridhar; Karen Livescu; Shinji Watanabe

doi:10.21437/interspeech.2024-2188

ScienceGate Book Chapters

JOURNAL ARTICLE

Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition

Kwangyoun Kim Suwon Shon Yi‐Te Hsu Prashant Sridhar Karen Livescu Shinji Watanabe

Year: 2024 Pages: 2830-2834

DOI: 10.21437/interspeech.2024-2188

Get Full-Text PDF Get Analytical Report

Keywords:

Convolution (computer science) Computer science Speech recognition Overlap–add method Artificial intelligence Artificial neural network Mathematics Fourier transform

Metrics

Cited By

1.43

FWCI (Field Weighted Citation Impact)

Refs

0.72

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition

Metrics

Citation History

Topics

Related Documents

Federal parameter-efficient fine-tuning for speech emotion recognition

Parameter-Efficient Fine-Tuning via Circular Convolution

Parameter-efficient fine-tuning of Whisper for low-resource speech recognition

Efficient Audio-Text Emotion Recognition with Parameter-Efficient Fine-tuning

Parameter-efficient Fine-tuning of Conformer-based Streaming Speech Recognition into Non-streaming Models