Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition

no code implementations • 28 Jan 2024 • Ahnaf Mozib Samin

Byte pair encoding (BPE) emerges as an effective tokenization method for tackling the out-of-vocabulary (OOV) challenge in various natural language and speech processing tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Arguments to Key Points Mapping with Prompt-based Learning

no code implementations • 28 Nov 2022 • Ahnaf Mozib Samin, Behrooz Nikandish, Jingyan Chen

Handling and digesting a huge amount of information in an efficient manner has been a long-term demand in modern society.

Negation Prompt Engineering

Analysis of Male and Female Speakers' Word Choices in Public Speeches

no code implementations • 11 Nov 2022 • Md Zobaer Hossain, Ahnaf Mozib Samin

The extent to which men and women use language differently has been questioned previously.

POS

Investigating self-supervised, weakly supervised and fully supervised training approaches for multi-domain automatic speech recognition: a study on Bangladeshi Bangla

no code implementations • 24 Oct 2022 • Ahnaf Mozib Samin, M. Humayon Kobir, Md. Mushtaq Shahriyar Rafee, M. Firoz Ahmed, Mehedi Hasan, Partha Ghosh, Shafkat Kibria, M. Shahidur Rahman

We also demonstrate the significance of domain selection while building a corpus by assessing these models on a novel multi-domain Bangladeshi Bangla ASR evaluation benchmark - BanSpeech, which contains approximately 6. 52 hours of human-annotated speech and 8085 utterances from 13 distinct domains.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2