#Speech Recognition

Articles about Speech Recognition — exploring patterns, best practices, and real-world implementations in production systems.

2 posts tagged with speech recognition. ← All posts

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Pratik Dhanave · ·5 min read

Speech-to-Text: Hearing the User

The first real stage of a voice agent is turning sound into words, and it's harder than it looks. Modern ASR is astonishingly good on clean audio, but real conversations are full of noise, accents, and disfluencies, and — for a voice agent — the transcript has to arrive fast and incrementally, while the model also figures out when the user has actually stopped talking. This post covers ASR for real-time voice.

The first real stage of a voice agent is turning sound into words, and it's harder than it looks. Modern ASR is astonishingly good on clean audio, but real conversations are full of noise, accents, and disfluencies — and the transcript has to arrive fast and incrementally while the model figures out when the user has actually stopped talking. ASR for real-time voice.

#Voice AI#Speech Recognition#ASR#AI Engineering#Conversational AI#Speech
Pratik Dhanave · ·8 min read

Audio and Speech

Sound is the modality that makes AI conversational — the difference between typing to a machine and talking to it. And the same architectural ideas that transformed text and vision transformed audio too: treat the waveform as a sequence, train at scale, and one model can transcribe speech across languages, or synthesize a natural-sounding voice from text. Understanding how AI handles audio — recognition, synthesis, and understanding — completes the picture of the core modalities and shows how general the multimodal recipe has become.

Sound is the modality that makes AI conversational — the difference between typing to a machine and talking to it. The same architectural ideas that transformed text and vision transformed audio too: treat the waveform as a sequence, train at scale, and one model can transcribe speech across languages, or synthesize a natural voice from text.

#Multimodal AI#Speech Recognition#Machine Learning#AI Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.