Internship & Speech AI Learning Hub 🚀

Welcome to my comprehensive learning repository! This structured repository documents my entire journey and learnings from my Data/Software Engineering Internship at DAU (Speech Lab).

During my internship, I worked extensively on the COSSHI (LLM-Powered Large-Scale Multitask Corpus) project, diving deep into Speech Signal Processing, Text-to-Speech (TTS) models, Neural Vocoders, and Large Language Models.

This repository is organized logically from basics to advanced topics.

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📚 Table of Contents

📁 01. Basics of Speech Processing

Understand the fundamental building blocks of audio and speech signals.

• 01_Signal_Processing_Fundamentals.md
• 02_Librosa_and_Audio_Analysis.md
• 03_Waveform_vs_Spectrogram.md

📁 02. LLMs and Data Generation

Exploring Large Language Models and their role in generating massive datasets.

• 01_LLM_Fundamentals_and_Transformers.md
• 02_LLM_Comparisons.md
• 03_Large_Scale_Corpus_Generation.md

📁 03. Speech Data and Corpus Preparation

How to prepare, label, and format data for deep learning in speech.

• 01_Data_Annotation_and_Labeling.md
• 02_Data_Quality_and_Consistency.md
• 03_Phonemes_and_G2P.md
• 04_Dataset_Preparation_for_TTS.md

📁 04. Text to Speech Architectures

Deep dive into modern TTS models like VITS, Bark, and XTTS.

• 01_TTS_Pipeline_Overview.md
• 02_TTS_Architectures_Part_1.md
• 03_VITS_Architecture.md
• 04_TTS_Model_Comparisons.md

📁 05. Neural Vocoders

How raw spectrograms are converted into high-fidelity audio.

• 01_What_is_a_Neural_Vocoder.md
• 02_Vocoder_Comparisons.md

📁 06. Model Training and Evaluation

Training procedures and how we measure speech quality (NISQA, UTMOS, WER).

• 01_Training_Workflow_and_Inference.md
• 02_Speech_Quality_Evaluation_Metrics.md
• 03_Benchmarking_and_Result_Analysis.md
• 04_PyTorch_and_HuggingFace.md

📁 07. Large Scale Project Management

Managing millions of files, automation, and team collaboration.

• 01_Dataset_Organization_and_Metadata.md
• 02_Automation_and_Batch_Processing.md
• 03_Collaborative_Workflow.md
• 04_Linux_Terminal_Commands.md
• 05_Jira_Proof_of_Work.md

📁 08. Internship Reflections and Future Work

My personal takeaways, challenges overcome, and the future of Speech AI.

• 01_Complete_Speech_AI_Pipeline.md
• 02_Speech_AI_Task_Comparisons.md
• 03_Challenges_and_Contributions.md
• 04_Future_Applications_and_Career.md

📁 09. Research and Documentation

• 01_Research_Paper_Reading.md

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Built with structure and precision to reflect real-world AI engineering.