What question did this study set out to answer?

This research aims to compare the effectiveness of different models in speech recognition tasks.

April 12, 2026Open Access

Comparative Evaluation of CTC, RNN-T, and Transformer Models for End-to-End Speech Recognition

Key Points

This research aims to compare the effectiveness of different models in speech recognition tasks.
Evaluated CTC, RNN-T, and Transformer models for speech recognition
Used standard datasets for model training and testing
Analyzed performance metrics such as accuracy and processing speed
CTC models showed lower accuracy compared to RNN-T and Transformer models
Transformer models outperformed both CTC and RNN-T in processing speed
RNN-T displayed competitive accuracy with Transformers but slower processing times

Abstract

UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list, UGC Approved list, list of ugc approved journal, ugc approved journal,IJRAR - international Research Journal,IJRAR.ORG,Ijrar.org, International Journal of Research and Analytical Reviews (IJRAR) , UGC Approved journal, ugc approved,ugc, ugc certify, publish free of cost, free publication, UGC and ISSN Approved , International Peer Reviewed, Open Access Journal , e ISSN 2348 –1269, Print ISSN 2349-5138, ISSN: 2348 –1269, Impact Factor : 5.75 , E- journal, Low Cost INR 500, Free Publication

Bookmark

View Full Paper

Bookmark

View Full Paper

Comparative Evaluation of CTC, RNN-T, and Transformer Models for End-to-End Speech Recognition

Key Points

Abstract

Cite This Study