To develop Whisper-Medusa speech recognition model, aiOla modified Whisper’s architecture to add a multi-head attention mechanism.

What if the race to perfect AI speech recognition wasn’t just about accuracy but also speed and usability? In a world where audio-to-text transcription powers everything from virtual meetings to ...

From the voice-to-text feature on your phone to the captions that make videos more accessible, speech transcription is ...

Presented in a recent paper, Spirit LM enables the creation of pipelines that mixes spoken and written text to integrate speech and text in the same multimodal model. According to Meta, their ...

The intelligent voice team at Qifu Technology has brought more good news — the multimodal emotion recognition research paper ...

Key features, accuracy, and usability factors to consider when selecting the right speech-to-text converter for your needs ...

Combining audio, images, and text helps the model better understand speech context. To improve its performance, we fine-tune a strong language model by blending unsupervised learning with multimodal ...

Jargonic is available immediately to enterprise customers via API, allowing them to integrate the model’s speech recognition capabilities into their own workflows, applications, or customer ...

Apache-licensed plan takes aim at costlier options Mistral has released an open automatic speech recognition (ASR) software bundle called Voxtral in a bid to undercut rivals on price and quality ...