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Whissle STT English-Indian Tech

English speech recognition model with Indian accent optimization, designed for technical interviews, coaching sessions, and professional conversations. Features the richest tag classifier in the Whissle STT family — 6 output categories including 26-class behavioral analysis.

Model Details

Architecture Conformer-CTC (EncDecCTCModelBPE) + dual-head tag classifier
Encoder 512-dim, Conformer layers
Download size ~484 MB
Format ONNX (CPU and GPU compatible)
Sample rate 16 kHz mono
Language English (Indian accent optimized)

Tag Classifier Outputs

Category Classes Labels
Age 8 0-18, 18-30, 30-45, 45-60, 60+, UNCERTAIN, INVALID, NONE
Behavior 26 EXPLAIN, FACILITATE, FILLER, QUESTION_CLOSED, QUESTION_OPEN, DIRECT, ACKNOWLEDGE, EVALUATE, STRUCTURE, THINK_ALOUD, EXPRESS, INFORM, REASON, ABILITY, COMMIT, QUESTION, ADVISE, REFLECT, AFFIRM, FOLLOW_NEUTRAL, RAISE_CONCERN, REFRAME, SUPPORT, CONFRONT, WARN, NONE
Emotion 7 NEUTRAL, SAD, HAPPY, ANGRY, FEAR, SURPRISE, NONE
Eval 8 CORRECT, PROBE, PARTIAL, INCORRECT, HINT, SKIP, NONE, EVAL_NONE
Gender 4 MALE, FEMALE, OTHER, NONE
Role 3 INTERVIEWER, INTERVIEWEE, NONE

Quick Start

git clone https://github.com/WhissleAI/whissle_stt_inference.git
cd whissle_stt_inference
./setup.sh --model en-in-tech-misc

License

Whissle Inference-Only License — inference only, no training/fine-tuning/distillation/reverse engineering. Free under 100M MAU.

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