A noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired. Audiolib.py · Issues 11 · README.md

This dataset contains a large collection of clean speech files and variety of environmental noise files in .wav format sampled at 16 kHz.

In order to better facilitate deep learning research in Speech Enhancement, we present a noisy speech dataset (MS-SNSD) that can scale to arbitrary sizes.

This dataset contains a large collection of clean speech files and variety of environmental noise files in .wav format sampled at 16 kHz. The main application ...

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise ...

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MS-SNSD is a tool for synthesizing speech with environmental noise, aimed at advancing research in speech enhancement. We selected 51 environmental noise ...

We present a noisy speech dataset (MS-SNSD) that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) ...

15 сент. 2019 г. · A noisy speech dataset (MS-SNSD) that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise ...

To demonstrate the dataset and evaluation framework we apply it to several noise suppressors and compare the subjective Mean Opinion Score (MOS) with objective ...