Intellectual hub of the topic
This section features materials based on live speech – ranging from field recordings and archival interviews to private discussions and lectures. We view the process of transcribing sound into text not merely as a technical task, but as a method for the profound preservation of meaning. Converting speech to writing allows us to structure the spontaneous flow of thought, reveal hidden nuances, and maintain the precision of intonation that is often lost in a retelling.
The popular method for comparing AI transcription services isn't as objective as it seems – we'll explore where it falls short.
Boson AI's Higgs Audio v3 recognizes speech in 94 languages, understands emotions, and surpasses competitors in accuracy for key languages.
AI: Events
Development
We explore how diarization works – the technology that determines who is speaking and when in an audio stream – and why doing it in real time is particularly challenging.
AssemblyAI has released the Universal-3 Pro model, which supports six languages and allows switching between them mid-speech without manual adjustments.
We explore the concept of «audio intelligence» and why a machine's ability to understand speech goes beyond mere word transcription.
AI: Events
Development
We explore why speech recognition systems perform well in tests but struggle in real-world conditions with background noise.
This article examines the accuracy of AI transcription for pharmaceutical names, identifies which models perform best, and explains the importance of this for medicine.
An Indian company has introduced a new version of its speech recognition system that supports 12 languages and outperforms major competitors in accuracy.
Indian developers have unveiled an audio model that doesn't just transcribe speech – it understands the context of the conversation and adapts its output format accordingly.
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