Summary of Bangladialecto: An End-to-end Ai-powered Regional Speech Standardization, by Md. Nazmus Sadat Samin et al.
BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization
by Md. Nazmus Sadat Samin, Jawad Ibn Ahad, Tanjila Ahmed Medha, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman
First submitted to arxiv on: 16 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this research paper, the authors focus on recognizing and standardizing Bengali dialects spoken in Bangladesh. They aim to develop effective communication tools by converting diverse accents into standardized formal Bengali speech. The study highlights the importance of addressing Bangla dialects, given its significance as the fifth most spoken language with 55 distinct dialects spoken by 160 million people. The authors employ multilingual Large Language Models (mLLMs) and Automated Speech Recognition (ASR) to address the challenges of dialectal speech recognition and Machine Translation (MT). They present an end-to-end pipeline for converting Noakhali dialectal speech to standard Bangla speech, achieving a CER of 0.8% and WER of 1.5% in ASR and BLEU score of 41.6% in MT. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study is all about making it easier for people who speak different versions of the Bengali language to communicate with each other. Right now, there are many dialects of Bengali, which can make it hard for people from different regions to understand each other. The researchers want to find a way to standardize these dialects so that everyone can talk to each other clearly. They’re using special computer programs called Large Language Models and Automated Speech Recognition to try to fix this problem. |
Keywords
» Artificial intelligence » Bleu » Cer » Translation
