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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01frankie137 /librivox-tracks-silero-vad librivox-tracks-vad This dataset is produced from pykeio/librivox-tracks with single-reader filtering and Silero VAD segmentation. data/train-*.parquet: all utterances (split is always train), collected until a global total audio budget is reached (see run manifest / script args: (2442/5994)*3600 * multiplier seconds by default). Each row stores source metadata plus a mono WAV payload (audio_bytes) and sampling_rate. tabularautomatic-speech-recognition1M<n<10M0 likes426 downloads5mo agoHugging Face02CambioMoney /ami-speaker-analysis_full_run_silero_Final_atlasttabular100K<n<1M1 likes120 downloads2y agoHugging Face03echodict /silero-vad Silero VAD Silero VAD - pre-trained enterprise-grade Voice Activity Detector (also see our STT models). Real Time Example https://user-images.githubusercontent.com/36505480/144874384-95f80f6d-a4f1-42cc-9be7-004c891dd481.mp4 Please note, that video loads only if you are logged in your GitHub account. Fast start Dependencies System requirements to run python examples on x86-64 systems: python 3.8+; 1G+ RAM; A modern CPU with AVX, AVX2, AVX-512 or AMX instruction… See the full description on the dataset page: https://huggingface.co/datasets/echodict/silero-vad.audion<1K0 likes100 downloads6mo agoHugging Face04Sh1man /silero_open_stt Usage from datasets import load_dataset, Audio dataset = load_dataset("Sh1man/silero_open_stt", "asr_calls_v2", split="train") print(dataset[0]['wav']) Subsets The dataset contains three subsets: asr_calls_v2: calls recordings buriy_audio_books_2: books recordings public_youtube700: youtube recordings 📊 Сводная статистика аудио-датасетов 📈 Общая статистика по всем датасетам Метрика Значение Всего датасетов/сабсетов 3 Всего семплов… See the full description on the dataset page: https://huggingface.co/datasets/Sh1man/silero_open_stt.audio10K<n<100K4 likes28 downloads1y agoHugging Face05Sh1man /silero_open_stt_opus Description only subset tts_russian_addresses_rhvoice_4voices Usage from datasets import load_dataset, Audio dataset = load_dataset("Sh1man/silero_open_stt_opus", "tts_russian_addresses_rhvoice_4voices", split="train") print(dataset[0]['opus']) Subsets The dataset contains three subsets: tts_russian_addresses_rhvoice_4voices: address recordings 📊 Сводная статистика аудио-датасетов Информация по сплитам 🔹… See the full description on the dataset page: https://huggingface.co/datasets/Sh1man/silero_open_stt_opus.audio1M<n<10M0 likes25 downloads1y agoHugging Face06CambioMoney /ami-speaker-analysis_full_run_silero_Finaltabular1K<n<10K0 likes9 downloads2y agoHugging Face07CambioMoney /ami-speaker-analysis_full_run_silerotabular1K<n<10K0 likes6 downloads2y agoHugging Face

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