Speech Recognition and Synthesis for Different Languages
Table Of Contents
<p>1. Introduction<br> 1.1 Importance of Multilingual Speech Processing<br> 1.2 Objectives of the Project<br>2. Fundamentals of Speech Recognition<br> 2.1 Acoustic Features and Signal Processing<br> 2.2 Language Modeling and Phonetics<br> 2.3 Automatic Speech Recognition (ASR) Systems<br>3. Multilingual Speech Corpora and Datasets<br> 3.1 Collection and Annotation of Speech Data<br> 3.2 Challenges in Multilingual Data Acquisition<br> 3.3 Cross-Lingual Speech Recognition Techniques<br>4. Language-Specific Speech Processing Models<br> 4.1 Phoneme and Prosody Modeling<br> 4.2 Accent and Dialect Adaptation<br> 4.3 Code-Switching and Multilingual Fusion<br>5. Speech Synthesis and Natural Language Generation<br> 5.1 Text-to-Speech (TTS) Systems<br> 5.2 Prosody and Intonation Modeling<br> 5.3 Expressive and Emotive Speech Synthesis<br></p>
Thesis 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>Thesis Overview
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