Open AI introduces WHISPER , a new speech recognition system ??
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Open AI introduces WHISPER, a new speech recognition system ??
OpenAI has recently introduced Whisper, an advanced speech recognition system. Launched in September 2022, Whisper sets new benchmarks in language understanding and boasts significantly reduced error rates. This innovative model can translate audio snippets into text, expanding its utility to various applications including speech translation, language identification, and voice activity detection. These features make Whisper highly suitable for voice assistant applications.
The evolution of Whisper reaches a new milestone with the introduction of Whisper V3, the latest version offering improved accuracy and commercial applicability. Whisper V3 enhances performance across a diverse range of languages, distinguishing itself from its predecessors.
The initial version of Whisper was trained on a substantial dataset of 680,000 hours of audio. However, the new Whisper V3 model leaps forward, having been trained on an astonishing 5 million hours of audio. As a result, Whisper now holds significant potential for practical applications such as transcribing customer calls or generating text, thus broadening its commercial usability.
Keywords
- Whisper
- OpenAI
- Speech recognition
- Language understanding
- Error rates
- Speech translation
- Language identification
- Voice activity detection
- Whisper V3
- Commercial applicability
- Customer call transcription
FAQ
Q: What is Whisper? A: Whisper is an advanced speech recognition system developed by OpenAI, capable of translating audio snippets into text with significantly reduced error rates.
Q: When was Whisper launched? A: Whisper was launched in September 2022.
Q: What are some of the functionalities of Whisper? A: Whisper can be used for speech translation, language identification, and voice activity detection, making it suitable for various voice assistant applications.
Q: What is Whisper V3? A: Whisper V3 is the newest version of OpenAI's speech recognition model, offering improved accuracy and performance in a wider variety of languages.
Q: How much data was Whisper V3 trained on? A: Whisper V3 was trained on 5 million hours of audio.
Q: What are some potential applications of Whisper? A: Whisper can be used to transcribe customer calls and generate text, among other commercial applications.