Attention-Driven Multi-Modal Fusion: Enhancing Sign Language Recognition and Translation

no code implementations • 4 Sep 2023 • Zaber Ibn Abdul Hakim, Rasman Mubtasim Swargo, Muhammad Abdullah Adnan

In this paper, we devise a mechanism for the addition of multi-modal information with an existing pipeline for continuous sign language recognition and translation.

Optical Flow Estimation Sign Language Recognition +1

Improving End-to-End Bangla Speech Recognition with Semi-supervised Training

no code implementations • Findings of the Association for Computational Linguistics 2020 • Nafis Sadeq, Nafis Tahmid Chowdhury, Farhan Tanvir Utshaw, Shafayat Ahmed, Muhammad Abdullah Adnan

In this work, we focus on using a semi-supervised training approach for Bangla Speech Recognition that can exploit large unpaired audio and text data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Preparation of Bangla Speech Corpus from Publicly Available Audio \& Text

no code implementations • LREC 2020 • Shafayat Ahmed, Nafis Sadeq, Sudipta Saha Shubha, Md. Nahidul Islam, Muhammad Abdullah Adnan, Mohammad Zuberul Islam

The manual annotation of a large corpus is very difficult.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language

no code implementations • NAACL 2019 • Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam

Grapheme to phoneme (G2P) conversion is an integral part in various text and speech processing systems, such as: Text to Speech system, Speech Recognition system, etc.

speech-recognition Speech Recognition