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