Open ASR Leaderboard

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Open ASR Leaderboard is a Data & Analytics tool that allows users to browse and compare speech-recognition models. It provides detailed multilingual and long-form accuracy scores for various models.

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Likely Free

Free tier

Yes

API

Skill level

Technical

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About

What is Open ASR Leaderboard?

Open ASR Leaderboard is a comprehensive platform for evaluating and comparing Automatic Speech Recognition (ASR) models. Hosted on Hugging Face Spaces, it enables users to browse a wide array of speech-recognition models, applying filters by name, license, or specific datasets. The tool offers detailed insights into model performance, including multilingual and long-form accuracy scores, which are crucial for understanding the nuances of ASR technology. This resource is invaluable for AI researchers and machine learning engineers who need to track progress, identify top-performing models, and make informed decisions about ASR model selection and development.

Best used for

Ideal for data scientists and professors who need to compare the performance of various ASR models, filter models based on specific criteria, and analyze detailed accuracy scores. Especially valuable for tracking advancements in speech recognition technology and selecting optimal models for research or application development.

Common actions

compare ASR models

evaluate speech recognition

analyze model performance

research audio AI

Content generationAI chatbotsTask automationAutomationEducationaifun tools

Capabilities

Key features

Browse speech-recognition models
Filter by name
Filter by license
Filter by dataset
View multilingual accuracy
View long-form accuracy

Target Audience

data scientistprofessor

Integrations

Not yet documented

Pricing & Plans

Likely Free

Free

FAQs

What kind of models can I find on the Open ASR Leaderboard?

You can find a wide range of speech-recognition models on the leaderboard. The platform allows you to browse and filter these models based on various criteria, including their name, licensing terms, and the specific datasets they were trained or evaluated on.

What performance metrics does the leaderboard provide?

The leaderboard provides detailed accuracy scores for the speech-recognition models. Specifically, you can view multilingual accuracy scores, which indicate performance across different languages, and long-form accuracy scores, which are relevant for longer audio inputs.

Is the Open ASR Leaderboard suitable for academic research?

Yes, the Open ASR Leaderboard is highly suitable for academic research. It provides a centralized platform for comparing and evaluating ASR models, making it an excellent resource for researchers and students in the fields of AI, machine learning, and natural language processing.

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Research & Education › Academic Research Coding & Development › Open Source & Models

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