Hugging Face model: Darveht/zenvion-voice-detector-v0.4
Author: Darveht
Created: 2025-11-09 14:56:35
Last modified: 2026-07-25 00:07:14
Pipeline: audio-classification
Library: transformers
Likes: 2 | Downloads: 55
Tags: transformers, zenvion_v04, feature-extraction, audio, audio-classification, voice-detection, voice-activity-detection, speech-recognition, speaker-recognition, emotion-detection, age-detection, gender-detection, accent-detection, language-identification, noise-robust, pytorch, wav2vec2, real-time, production-ready, multi-language, multi-task-learning, deep-learning, ai, ml, custom_code, en, es, fr, de, it, pt, nl, pl, ru, zh, ja, ko, ar, hi, tr, vi, th, id, ms, fil, bn, ta, te, mr, gu, kn, pa, ur, fa, he, uk, ro, cs, sv, da, no, fi, el, hu, sk, bg, hr, sr, sl, et, lv, lt, ca, gl, dataset:mozilla-foundation/common_voice_16_1, dataset:google/fleurs, dataset:facebook/voxpopuli, dataset:MLCommons/peoples_speech, dataset:speech_commands, dataset:facebook/multilingual_librispeech, dataset:librispeech_asr, dataset:voxceleb, dataset:voxceleb2, dataset:gigaspeech, dataset:tedlium, dataset:ami, dataset:covost2, dataset:earnings22, dataset:switchboard, dataset:callhome, dataset:fisher, dataset:openslr, dataset:librilight, dataset:ljspeech, dataset:vctk, dataset:libritts, dataset:ravdess, dataset:crema-d, dataset:savee, dataset:tess, dataset:iemocap, base_model:facebook/wav2vec2-base-960h, base_model:finetune:facebook/wav2vec2-base-960h, license:apache-2.0, model-index, region:us
Base model relation: finetune
Base models: id: facebook/wav2vec2-base-960h
Card metadata:
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags: audio, audio-classification, voice-detection, voice-activity-detection, speech-recognition, speaker-recognition, emotion-detection, age-detection, gender-detection, accent-detection, language-identification, noise-robust, pytorch, transformers, wav2vec2, real-time, production-ready, multi-language, multi-task-learning, deep-learning, ai, ml
datasets: mozilla-foundation/common_voice_16_1, google/fleurs, facebook/voxpopuli, MLCommons/peoples_speech, speech_commands, facebook/multilingual_librispeech, librispeech_asr, voxceleb, voxceleb2, gigaspeech, tedlium, ami, covost2, earnings22, switchboard, callhome, fisher, openslr, librilight, ljspeech, vctk, libritts, ravdess, crema-d, savee, tess, iemocap
language: en, es, fr, de, it, pt, nl, pl, ru, zh, ja, ko, ar, hi, tr, vi, th, id, ms, fil, bn, ta, te, mr, gu, kn, ml, pa, ur, fa, he, uk, ro, cs, sv, da, no, fi, el, hu, sk, bg, hr, sr, sl, et, lv, lt, ca, gl
metrics: accuracy, f1, precision, recall, auc, eer
pipeline_tag: audio-classification
library_name: transformers