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ltnghia /DNS-Challenge Deep Noise Suppression (DNS) Challenge - Interspeech 2020 This repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please visit https://dns-challenge.azurewebsites.net/ and refer to our paper. Repo details: The datasets directory contains the clean speech and noise clips. The NSNet-baseline directory contains the inference scripts and the ONNX model for the baseline Speech Enhancer called Noise Suppression… See the full description on the dataset page: https://huggingface.co/datasets/ltnghia/DNS-Challenge.audion<1K6 likes731 downloads1y agoHugging Facehumanify /DNS-Noise DNS-Noise DNS-Challenge noise_fullband and impulse_responses republished as 24 kHz mono FLAC for on-demand streaming augmentation, plus a microphone-characteristics split. Three splits: noise — environmental noise (long files segmented into chunks) rir — room impulse responses (one row per file) mic_ir — microphone impulse responses (one row per file) from datasets import load_dataset noise = load_dataset("ChristianYang/DNS-Noise", split="noise", streaming=True) rir =… See the full description on the dataset page: https://huggingface.co/datasets/humanify/DNS-Noise.audioaudio-classification100K<n<1M0 likes712 downloads2mo agoHugging Facephilgzl /dns5 DNS5 Challenge data This is a mirror of the DNS5 Challenge data. The original files were converted from WAV to Opus to reduce the size and accelerate streaming. ⚠️ Only the LibriVox, AudioSet, Freesound, OpenSLR26, and OpenSLR28 data is included. The VCTK, VocalSet, CREMA-D, VoxCeleb2, and DEMAND data is excluded. ⚠️ Sampling rate: 48 kHz Channels: 1 Format: Opus Splits: speech_english: 245 hours, 186743 files speech_french: 95 hours, 60454 files speech_german: 137 hours, 119175… See the full description on the dataset page: https://huggingface.co/datasets/philgzl/dns5.audio100K<n<1M1 likes552 downloads4mo agoHugging Facenotsahil /dns-recordstext100M<n<1B0 likes474 downloads6mo agoHugging Facerichiejp /dns5-16k DNS5 16kHz Resampled subset of the ICASSP 2022 DNS Challenge dataset. All audio files resampled from 48kHz to 16kHz and stored as FLAC (lossless compression), packed into tar shards. Structure clean/shard_0000.tar # Clean speech (VCTK and other corpora) clean/shard_0001.tar ... noise/shard_0000.tar # Environmental noise (AudioSet, Freesound) ... impulse_responses/shard_0000.tar # Room impulse responses ... Each tar contains FLAC files with their… See the full description on the dataset page: https://huggingface.co/datasets/richiejp/dns5-16k.audioaudio-classification100K<n<1M2 likes402 downloads6mo agoHugging Face0x3 /DNS-Challenge Deep Noise Suppression (DNS) Challenge - Interspeech 2020 This repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please visit https://dns-challenge.azurewebsites.net/ and refer to our paper. Repo details: The datasets directory contains the clean speech and noise clips. The NSNet-baseline directory contains the inference scripts and the ONNX model for the baseline Speech Enhancer called Noise Suppression… See the full description on the dataset page: https://huggingface.co/datasets/0x3/DNS-Challenge.audion<1K0 likes281 downloads4mo agoHugging Face