Speech Recognition and Synthesis for Different Languages
Table Of Contents
- <p>
- 1.Introduction<br>
- 1.1Importance of Multilingual Speech Processing<br>
- 1.2Objectives of the Project<br>
- 2.Fundamentals of Speech Recognition<br>
- 2.1Acoustic Features and Signal Processing<br>
- 2.2Language Modeling and Phonetics<br>
- 2.3Automatic Speech Recognition (ASR) Systems<br>
- 3.Multilingual Speech Corpora and Datasets<br>
- 3.1Collection and Annotation of Speech Data<br>
- 3.2Challenges in Multilingual Data Acquisition<br>
- 3.3Cross-Lingual Speech Recognition Techniques<br>
- 4.Language-Specific Speech Processing Models<br>
- 4.1Phoneme and Prosody Modeling<br>
- 4.2Accent and Dialect Adaptation<br>
- 4.3Code-Switching and Multilingual Fusion<br>
- 5.Speech Synthesis and Natural Language Generation<br>
- 5.1Text-to-Speech (TTS) Systems<br>
- 5.2Prosody and Intonation Modeling<br>
- 5.3Expressive and Emotive Speech Synthesis<br></p>
Project Abstract
<p> This project focuses on the development of speech recognition and synthesis systems for multiple languages, with a focus on addressing the challenges of language diversity and accent variations. The project will involve studying acoustic and language modeling techniques, building multilingual speech corpora, and developing language-specific speech processing models for improved accuracy and naturalness. <br></p>Project Overview
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