Training a Compact, Strong, and Realistic Text-to-Speech Model
cs.SD, cs.AI
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/Edge0-AI/Audio8_TTS
Sources
- Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
- Unifying Speech Recognition, Synthesis and Conversion with Autoregressive Transformers
- High Fidelity Neural Audio Compression
- CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
- MOSS-TTS Technical Report
- Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
- Qwen3-TTS Technical Report
- YODAS: Youtube-Oriented Dataset for Audio and Speech
- IndexTTS 2.5 Technical Report
- Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis
- Fish Audio S2 Technical Report
- Qwen2.5 Technical Report
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- FireRedAudio: A General-Purpose Audio Language Model with Decoupled Continuous Representations for Understanding and Generation
- Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
- Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
- FireRedTTS-2: Towards Long Conversational Speech Generation for Podcast and Chatbot
- MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
- IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
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