Artificial Intelligence

Transcribe your audios to text using artificial intelligence

Transcribe your audios to text using artificial intelligence

Whisper was officially unveiled by OpenAI in September 2022, its development is based on a large and diverse audio database of approximately 680,000 hours of monitored multilingual and multitasking content collected from the web. And it is precisely the diversity of data that was key to achieving near-human-level robustness and accuracy in English speech recognition.

Unlike other ASR (automatic speech recognition) models, Whisper stands out for its ability to perform multilingual speech recognition, speech translation and language identification. Its architecture is based on a Transformer as encoder-decoder, which allows the model to efficiently process audio in 30-second chunks, convert them into a log-Mel spectrogram and then predict the corresponding text.

OpenAI Whisper represents a milestone in the field of speech recognition, not only for its ability to handle a variety of languages and accents, but also for its ability to adapt to different contexts and noisy environments, overcoming many of the limitations of previous models.

Whisper is not only limited to voice recognition, but also includes the ability to translate speech into text in different languages. In addition to integrating with services such as Azure OpenAI Service and Azure AI Speech, allowing the user to take advantage of Whisper's capabilities within the Microsoft Azure ecosystem.

The most recent and outstanding version of OpenAI Whisper, Whisper large-v3, is recommended by experts for its significant evolution over its predecessors. Not only the robustness when processing different languages and accents, but the improvements in processing efficiency, optimizing memory usage, and processing speed, offering faster and more efficient performance, especially on resource-constrained devices. Crucial improvements for applications requiring real-time responsiveness or operating in hardware-constrained environments.

It only remains for each user to perform the necessary tests to confirm if it is the platform they need for their daily work. To learn more, visit https://replicate.com/openai/whisper

23 de Enero, 2024



metodika