TTS

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TTS is an open-source deep learning library for Text-to-Speech generation. It offers advanced models for high-quality speech synthesis, designed for ease of training, speed, and quality.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is TTS?

TTS is a comprehensive open-source library developed by Mozilla for advanced Text-to-Speech generation. It leverages the latest research to provide a balance of ease-of-training, speed, and quality, making it suitable for various applications. The library includes pretrained models and tools for measuring dataset quality, supporting over 20 languages. It features high-performance deep learning models for Text2Spec tasks like Tacotron and Glow-TTS, as well as various vocoder models such as MelGAN and WaveRNN. TTS supports multi-speaker TTS, efficient multi-GPU training, and the ability to convert PyTorch models to Tensorflow 2.0 and TFLite for inference. It also provides a demo server for model testing and notebooks for extensive benchmarking.

Best used for

Ideal for developers and researchers who need to implement advanced Text-to-Speech capabilities, train custom voice models, and conduct experiments in speech synthesis. Especially valuable for those requiring high-performance deep learning models and multi-language support in an open-source environment.

Common actions

generate speech

train TTS models

synthesize voice

research speech synthesis

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Capabilities

Key features

Deep learning TTS models
Pretrained models included
Multi-speaker TTS support
Multi-GPU training
PyTorch to TensorFlow conversion
Dataset analysis tools

Target Audience

developersmachine learning engineersresearchersaudio engineers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What deep learning models does TTS support for Text-to-Spectrogram?

TTS supports several advanced deep learning models for Text-to-Spectrogram tasks, including Tacotron, Tacotron2, Glow-TTS, and SpeedySpeech. These models are designed for high performance and quality in speech synthesis, offering various attention methods like Guided Attention and Double Decoder Consistency.

Can I train my own custom TTS models with this library?

Yes, TTS is designed for training and fine-tuning custom models. It provides detailed documentation, training recipes, and scripts to help users define their own configurations and train models on custom datasets. It also supports multi-GPU training for efficiency.

Does TTS offer pre-trained models for immediate use?

Yes, TTS comes with several pre-trained models, including 'Mozilla*' and 'Judy*' for English. Users can easily synthesize speech using these released models via a command-line interface, specifying the desired model and vocoder names.

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AI Agents & Automation › AI Frameworks & Infra Coding & Development › Open Source & Models Research & Education › Scientific Computing

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