格 千格 KiloCell

TTS Voice Technology Guide

2025 Global Leadership Synth Program

Mainstream TTS technology selection

Dimensions Open Source Program (CosyVoice/Fish) Commercial API (ElevenLabs/Azure)
Cost Low (specify card lease/maintenance only) Medium height (characterized by character/token)
Privacy Very high (completely offline) General (data need to upload cloud)
Response delay Very low (local reasoning 150ms) Low (affected by network shaking)
Deployment difficulty High (needs Python travel experience) Extremely low (call API sufficient)
Stability Depending on the build-up server Extreme (enterprise level SLA)

• Example of rapid deployment: CosyVoice 2

# 1. gramsRyu!Code库
git clone https://github.com/FunAudioLLM/CosyVoice.git
cd CosyVoice

# 2. Ann.装 Conda 环境
conda create -n cosyvoice python=3.10
conda activate cosyvoice
pip install -r requirements.txt

# 3. Run WebUI Presentation
python webui.py --port 7860

• 2025 TTS Industry Core Trends

The synthesis of speech has entered the age of "mective real time response". The latest CosyVoice 2 and Fish Speech 1.5. Delays the flow synthesis to 150 ms, making AI The voice-alarm conversation experience is extremely close to the real person. Meanwhile, voice cloning of zero samples (Zero-shot) takes only 3-5 seconds to reach it. 95% more likeness.

Open Source

CosyVoice 2

The Ali Babatuny Laboratory is currently one of the most performing open source TTS models in Chinese.

The cloning period
3 seconds and zero.
Delay in reasoning
< 150 ms (flow)
Language support
C/E/J/K/K/K
Feature Functions
Multi-Emperal Control
Commercial

ElevenLabs

The global TTS domain is dominated by a high level of emotional resonance and a rich acoustic base.

The cloning period
A transient clone.
Forms of services
API / Web
Language support
29+ Languages
Price
$5/month
Open Source

Fish Speech 1.5

High Performance SOTA Level TTS, 4GB open, GitHub 20K+ Star.

Structure
LLM + VQ-GAN
Operating environment
Visibility > = 4GB
Language support
13+ Languages
Similarity
Extreme (SOTA)
Open Source

ChatTTS

Models that optimize dialogue scenarios, support the control of specifics such as oral laughter, pause, etc.

Positioning
Dialogue/poacher
Features
It's a humanistic way of speaking.
Languages
C/E
Training scale
100,000+ hours

Application scene proposal

📱 Short video and self-media

Recommended use ElevenLabs or GPT-SoVITS 。 They provide highly inflammatory emotional phonography, which is well suited to the voice of the voice, the narrative type of video from Station B.

- Smart hardware and customer service

Recommended use CosyVoice 2 。 Its extremely low delay feature ensures instant feedback from voice assistants and increases the level of interaction.

♪ There's sound books and podcasts ♪

Recommended use ChatTTS 。 It automatically handles pauses, sighs and laughter in long text, so long readings are no longer mechanized.

• Enterprise-level standards application

Recommended use Azure TTS 。 Although the sound is relatively fixed, it has the widest multilingual coverage and supports fine-tuning of SSML.

TTS Future of Technology: Multi-modular Integration

In 2025, TTS was no longer isolated text-repeated. With GPT-4o The spread of this type of multi-modular model is leading to the evolution of speech synthesis towards “emotional perception”. That means AI. It not only speaks, but also adjusts its emotions, speed and accent to the tone, context and in real time. For the developers, mastery. The fine-tuning and deployment of open-source programmes such as CosyVoice will be one of the core competitiveness of AI application development.