Parler-TTS
Parler-TTS is an inference and training library for high-quality text-to-speech models, designed.
Parler-TTS is an inference and training library for high-quality text-to-speech models, designed for developers and researchers who need to generate natural sounding speech with specific speaker characteristics. It is a fully open-source release, allowing the community to build on the work and develop their own powerful TTS models. The library is optimized for faster generation and includes features like speaker consistency, punctuation control, and customizable speech features.
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Speaker consistency
Parler-TTS allows for speaker consistency across generations, with 34 available speakers to choose from, each with unique vocal qualities.
Customizable speech features
The library enables control over speech features like pitch, speed, and gender through simple text prompts.
Punctuation control
Punctuation can be used to control the prosody of the generations, adding breaks in speech for more natural flow.
Optimized for speed
Parler-TTS includes optimizations for faster generation, such as SDPA and Flash Attention 2 compatibility.
✓High-quality speech generation: Parler-TTS produces high-quality, natural sounding speech with controlled features.
✓Customizable: The library allows for customization of speech features, speaker characteristics, and punctuation control.
✓Open-source: The open-source nature of Parler-TTS enables community contributions and development of custom models.
✕Steep learning curve: Parler-TTS requires a good understanding of text-to-speech models, natural language processing, and programming.
✕Limited support: As an open-source project, support may be limited compared to commercial alternatives.
| Tool | Pricing | Upvotes | Rating |
|---|---|---|---|
Read AI |
Freemium | ▲ 112 | ★ 3.7 |
BigIdeasDB |
Freemium | ▲ 315 | ★ 3.5 |
Juice AI |
Freemium | ▲ 280 | ★ 4.1 |
Parler-TTS is an open-source inference and training library for high-quality text-to-speech models, designed for developers and researchers.
Parler-TTS uses a combination of natural language processing and machine learning to generate high-quality speech with controlled features like speaker, pitch, and speed.
The system requirements for Parler-TTS are not explicitly stated, but it is designed to work with Python and requires a compatible environment for installation and use.
Yes, Parler-TTS is open-source and can be used for commercial purposes, but it's essential to review the licensing terms and conditions before doing so.
Parler-TTS offers high-quality speech generation with customizable features, but its performance may vary compared to other models, depending on the specific use case and requirements.
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