Vinit Singh

AI Consultant & Enterprise AI Trainer. Voice, vision, agentic AI — the parts the docs skip.

[Vinit Singh @data_canny]

"Latency budget for a sub-500ms voice agent: ASR partial hypotheses ~120ms, LLM time-to-first-token ~210ms, TTS first chunk ~90ms, network+jitter ~60ms. Most demos skip this math entirely.

[Vinit Singh @data_canny]

TTS is rarely the bottleneck in voice agents. Everyone tunes the voice model and ignores that they're waiting on a full LLM response before synthesis even starts. Stream sentence-level into TTS instead — you lose a little prosody continuity, gain ~600ms.

[Vinit Singh @data_canny]

🎙️ Dive into Voice AI! My new course "Mastering Speech Language Models" covers ASR to Emotion AI with 60+ coding examples.

19.5 hrs, 34 topics.

FREE with code: SPEECHLM_AUG100

👉 https://t.co/ozanvd3Q9t

#AI #SpeechAI #SpeechLM

[Vinit Singh @data_canny]

Barca 0 Real 2 in one week. Is it the end of Barca Dominance?