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  1. Home
  2. AI Models
  3. Speech & Audio
  4. FastSpeech 2
open sourcespeech

FastSpeech 2

Real-time non-autoregressive TTS with pitch and duration control — free MIT

Developed by Microsoft Research

Try Model
~27MParams
YesAPI
stableStability
FastSpeech 2Version
MITLicense
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Text: 'The quick brown fox jumps over the lazy dog.' Pitch shift: +2 semitones, Speed: 1.1x, Voice: Male English.

Model Output

model response
Returns a 2.4-second 22.05 kHz WAV with the text spoken in a slightly higher-pitched, faster male voice. Generated in ~30ms on a single GPU — fast enough for live streaming applications and conversational AI.

Examples

Real-World Applications

  • Real-time voice assistants
  • video game NPC dialogue
  • animation lip-sync
  • accessibility readers
  • IVR phone systems
  • live streaming TTS.

Docs

Model Intelligence & Architecture

What is FastSpeech 2?

FastSpeech 2 is a non-autoregressive text-to-speech model developed by Microsoft Research and Zhejiang University, published in 2020. It's the second generation of the FastSpeech architecture and produces high-quality speech at real-time speeds — up to 3× faster than autoregressive models like Tacotron 2.

FastSpeech 2 implementations are released under MIT license, free for commercial use.

Why FastSpeech 2 Is Still Used in 2026

While newer end-to-end models like VITS and XTTS often deliver better quality, FastSpeech 2 remains popular for real-time production TTS where speed and stability matter more than absolute naturalness.

Its explicit control over pitch, duration, and energy makes it the preferred choice for applications requiring fine-grained voice customization.

Key Features and Capabilities

FastSpeech 2 supports non-autoregressive parallel TTS, pitch control (per phoneme), duration control, energy control, multi-speaker training, and HiFi-GAN vocoder integration.

Who Should Use FastSpeech 2?

FastSpeech 2 is built for real-time TTS application developers, voice assistant builders, animation studios needing lip-sync TTS, accessibility tool makers, and game developers.

Top Use Cases

Real-world applications include real-time voice assistants, video game NPC dialogue, animation lip-sync, accessibility readers, IVR phone systems, and live streaming TTS.

Where Can You Run It?

FastSpeech 2 runs on ESPnet, NVIDIA NeMo, Hugging Face Transformers, and various Coqui TTS forks. It runs in real-time on CPU and at 50-100x real-time on GPU.

How to Use FastSpeech 2 (Quick Start)

Easiest via NVIDIA NeMo: pip install nemo_toolkit[tts], then load nvidia/tts_en_fastpitch (FastPitch is the production successor) and nvidia/tts_hifigan for vocoding.

When Should You Choose FastSpeech 2?

Choose FastSpeech 2 when you need real-time TTS with fine-grained voice control. For higher naturalness, use VITS or XTTS v2. For voice cloning, use OpenVoice.

Pricing

FastSpeech 2 is completely free under MIT license.

Pros and Cons

Pros: ✔ MIT license ✔ 3x faster than Tacotron 2 ✔ Pitch/duration/energy control ✔ Real-time on CPU ✔ Stable inference (no failure modes) ✔ Multi-speaker support

Cons: ✘ Less natural than VITS/XTTS ✘ Two-stage (needs vocoder) ✘ Surpassed by newer end-to-end models ✘ Pronunciation guide needed

Final Verdict

FastSpeech 2 is the speed champion for real-time TTS in 2026 — perfect for production voice applications. Discover more TTS options at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ MIT license
  • ✓ 3x faster than Tacotron 2
  • ✓ Pitch/duration/energy control
  • ✓ Real-time on CPU
  • ✓ Stable inference (no failure modes)
  • ✓ Multi-speaker support
Limitations
  • ✗ Less natural than VITS/XTTS
  • ✗ Two-stage (needs vocoder)
  • ✗ Surpassed by newer end-to-end models
  • ✗ Pronunciation guide needed

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code

Technical Details

Architecture
Non-autoregressive Transformer with variance predictors
Stability
stable
Framework
PyTorch
License
MIT
Release Date
2020-06-08
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Completely free under MIT license

Best For

Developers needing real-time TTS with fine voice control for live applications

Alternative To

Tacotron 2, Glow-TTS, AWS Polly real-time

Compare With

fastspeech vs vitsfastspeech 2 vs tacotronfastspeech vs fastpitchfast tts modelreal time text to speech

Tags

#Fastspeech#TTS#Microsoft Research#Open Source AI#text-to-speech#real-time-tts

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SpeechT5

SpeechT5 by Microsoft is a free open-source unified speech model that handles TTS, ASR, voice conversion, and speech-to-text translation in one architecture. MIT license, perfect for multi-task speech AI applications.

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OpenVoice

OpenVoice by MyShell.ai is a free open-source voice-cloning AI that clones any voice from a short audio sample. Multilingual, controllable emotion/accent, MIT license. Best free ElevenLabs alternative for self-hosting.

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