AI Briefing#tts
The latest AI and developer news about #tts, with the original source and a short summary.
The latest AI and developer news about #tts, with the original source and a short summary.
This covers how WebRTC packet loss affects response quality when implementing Voice AI, and how to address it.
It shows the process of fine-tuning the Orpheus 3B model on a TTS dataset using the open-source ML platform Transformer Lab.
A C++ port of Echo-TTS that supports efficient inference using GGML and ONNX Runtime has been released.
vibevoice.cpp, a ggml-based inference engine that can run Microsoft VibeVoice without Python, has been released.
Flare-TTS 28M, trained for 24 hours on a single A6000, has been released.
Chirp has been released as an offline TTS app supporting Kokoro and Qwen3-TTS.
Microsoft released VibeVoice, unveiling a family of ASR, TTS, and real-time voice models.
For Somali TTS, XTTS V4 works best so far, but the LLM and Whisper layers remain bottlenecks.
Google's new TTS model precisely controls voice style using natural language audio tags.
Google has released Gemini 3.1 Flash TTS, enabling voice style control through prompts.
Google's Gemini 3.1 Flash TTS text-to-speech model has been introduced.
After testing 30 TTS engines on a MacBook Air M4, Kokoro turned out to be the optimal choice, and quantization actually made things slower.
Added 8 Indian languages to Chatterbox-Multilingual using only LoRA and tokenizer expansion.
A 2B-scale TTS/voice cloning model supporting 30 languages and 48kHz output.
A 0.1B-scale multilingual TTS model supports real-time generation even on a 4-core CPU.
Compares the characteristics and trade-offs of Cascaded and Fused architectures for building voice agents.
ElevenLabs has launched ElevenAgents for Support, which lets teams build customer support AI agents without coding by leveraging existing documents.
ElevenLabs has unveiled Expressive Mode for ElevenAgents, which understands the context and emotion of conversations to respond more naturally.
ElevenLabs' latest TTS model, **Eleven v3**, has officially launched, with greatly improved accuracy in handling numbers and symbols.
Yampa integrated ElevenLabs Flash V2.5 to achieve stability and responsiveness in large-scale outbound voice AI.
Apna leveraged ElevenLabs technology to build a realistic, ultra-low-latency AI interview agent.
ElevenLabs has introduced self-hosted LLMs into its agent platform, reducing latency and improving cost efficiency for voice agents.
ElevenLabs has launched a multimodal conversational AI feature that can process voice and text simultaneously.
AI voice assistants are revolutionizing user experience through natural conversation and emotional expression.