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