Openspeech

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OpenSpeech is an open-source toolkit for end-to-end speech recognition, leveraging PyTorch-Lightning and Hydra. It provides reference implementations of various ASR modeling papers and supports multiple languages.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is openspeech?

OpenSpeech is an open-source toolkit designed for end-to-end speech recognition, built upon the powerful PyTorch-Lightning and Hydra frameworks. It offers reference implementations of numerous ASR modeling papers and provides recipes for automatic speech recognition tasks in English, Chinese, and Korean. The toolkit aims to simplify ASR technology by offering features like multi-GPU and TPU training, mixed-precision, and hierarchical configuration management. Researchers and practitioners can easily experiment with over 20 ASR models, customize models, and integrate new datasets. It also includes audio processing capabilities such as Spectrogram, Mel-Spectrogram, and various augmentation techniques like SpecAugment and Noise Injection.

Best used for

Ideal for researchers and developers who need to implement and experiment with various end-to-end automatic speech recognition models, train them efficiently with advanced features like multi-GPU support, and customize audio processing pipelines. Especially valuable for those working with English, Chinese, or Korean speech datasets.

Common actions

develop speech recognition

train ASR models

experiment with deep learning

customize audio processing

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Capabilities

Key features

End-to-end speech recognition
PyTorch-Lightning & Hydra integration
Multi-GPU & TPU training
Mixed-precision training
20+ ASR models supported
Customizable models & datasets
Audio augmentation techniques

Target Audience

ai/ml researchersmachine learning engineersspeech recognition developers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What frameworks does OpenSpeech leverage for its functionality?

OpenSpeech is built upon PyTorch-Lightning and Hydra. These frameworks provide robust capabilities for multi-GPU and TPU training, mixed-precision, and efficient hierarchical configuration management, making it easier to develop and experiment with speech recognition models.

What types of speech recognition models does OpenSpeech support?

OpenSpeech supports over 20 different end-to-end automatic speech recognition (ASR) models, including prominent architectures like DeepSpeech2, RNN-Transducer, Listen Attend Spell, Transformer, Conformer, and ContextNet. It continuously updates its model offerings.

Does OpenSpeech provide pre-trained models or only the framework for training?

OpenSpeech provides the framework and code for training ASR models, along with reference implementations of various papers. However, it does not provide pre-trained models or APIs for using them directly. Users are expected to train their own models.

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AI Agents & Automation › AI Frameworks & Infra Coding & Development › Open Source & Models AI Agents & Automation › Voice Agents

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