Prompting
Automatic speech recognition, the task of converting spoken audio into written text.
Automatic speech recognition, the task of converting spoken audio into written text. Modern ASR models are trained end to end on large amounts of paired audio and transcripts. OpenAI's Whisper, trained on 680,000 hours of multilingual audio, showed that this kind of weak supervision transfers zero-shot to standard benchmarks without fine-tuning. ASR is the first stage of most voice agents, dictation tools, and meeting transcription pipelines.
Primary source: arxiv.org
Example
In practice, developers reach for Speech-to-Text (ASR) when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Prompting.
FAQ
Automatic speech recognition, the task of converting spoken audio into written text.
Speech-to-Text (ASR) sits in the Prompting part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Prompting topics including Speech-to-Text (ASR). Check the blog and YouTube channel for hands-on walkthroughs.
Related
The surrounding code and infrastructure that turns a raw language model into a useful application.
An API that accepts the same request and response shapes as OpenAI's Chat Completions endpoint, so existing OpenAI SDKs and tools work after changing only the base URL, API key, and model name.
Fine-tuning a model with reinforcement learning against a grader you define, instead of on fixed correct answers.

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