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What is FireRedASR?
FireRedASR is a family of open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.
Problem
The current situation for users involves relying on traditional or less efficient speech recognition systems, especially for Mandarin, Chinese dialects, and English.
This leads to difficulty in achieving state-of-the-art accuracy and recognizing complex inputs such as singing lyrics.
Solution
Open-source industrial-grade ASR models that support Mandarin, Chinese dialects, and English.
Users can achieve new state-of-the-art accuracy on Mandarin ASR benchmarks and recognize singing lyrics efficiently.
Customers
Speech recognition engineers, researchers, and developers working with ASR technologies, particularly in regions where Mandarin and Chinese dialects, as well as English, are predominant.
Technology companies looking to integrate advanced ASR capabilities into their products.
Unique Features
Achieves new state-of-the-art performance on public Mandarin ASR benchmarks.
Supports not only standard speech but also excels in recognizing singing lyrics.
Open-source nature allows for community-driven development and customization.
User Comments
Highly accurate in Mandarin and English recognition.
Open-source availability is appreciated for academic and commercial use.
Singing lyrics recognition is a unique and useful feature.
Impressed by its performance on regional dialects.
Potential for integrating into various applications noted by users.
Traction
Newly launched with significant recognition for its benchmark performance.
Part of the FireRed family of speech recognition solutions.
Strong interest from the ASR community due to its open-source nature.
Market Size
The global speech and voice recognition market was valued at $10.7 billion in 2020 and is expected to reach $27.16 billion by 2026, growing at a CAGR of 16.8%.
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