telenow/telenow-pvad-v1
voice-activity-detection model by telenow
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Model card & documentation
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A 171k-parameter streaming model that labels every 10 ms of an 8 kHz caller audio stream as silence, the enrolled caller, or someone else (a bystander, a TV, the agent's own echo). It is conditioned on a 192-d speaker embedding of the caller taken from the first seconds of the call, so a voice-agent's barge-in logic can ignore other voices in the room without waiting for a transcript. Trained by Telenow AI on its own Indian PSTN call recordings (Hindi, English and other Indian languages) with synthetic bystander / TV / echo mixtures. No audio is released with this model. Frame accuracy 0.87, speech-frame AUC 0.97, target recall 0.84 at 5 % false accept. One 10 ms frame costs 0.08 ms single-threaded in onnxruntime. Normalisation (feats − mu) / sd with the stored global statistics is the first op inside both graphs. Kaldi-style log-mel filterbank, 8 kHz, 40 bins, 25…
Read the full model card ↗ · Preview checked 2026-11-03T22:05:24.329Z
Inside the original model card — Document outline
- pVAD v1 — speaker-conditioned frame VAD for telephony barge-in
- Results (held-out recordings, synthetic mixtures, 1.5 s windows)
- Files
- Model
- Input features
- Conditioning (enrollment) embedding
- Streaming contract (pvadstreamv1.onnx)
- Intended use and limits
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Model overview
telenow/telenow-pvad-v1 is a voice-activity-detection model repository published by telenow on Hugging Face. The source reports the onnx library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- voice-activity-detection
- Library
- onnx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-22T06:14:11.000Z
- Last modified
- 2026-09-22T06:14:17.000Z
Compatibility and lineage
Reported languages: hi, en, mr, gu, ta, te, kn, ml, bn, pa
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.