Papers by Md. Nahidul Islam

2 papers
Preparation of Bangla Speech Corpus from Publicly Available Audio & Text (2020.lrec-1)

Copied to clipboard

Challenge: Automated speech recognition systems require large annotated speech corpus for training.
Approach: They propose to use publicly available Bangla audiobooks and TV news recordings as input to prepare a large speech corpus with reasonable confidence.
Outcome: The proposed algorithm outperforms the existing speech corpus and the existing corpus with speaker diarization and gender detection.
Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language (N19-1)

Copied to clipboard

Challenge: Existing methods for Grapheme to phoneme conversion in Bangla language are mostly rule-based.
Approach: They propose to use a lexicon to train a robust Grapheme to phoneme conversion system in Bangla language.
Outcome: The proposed method outperforms other state-of-the-art approaches for G2P conversion in Bangla language.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations