recipes
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### DNS Challenge's dataset
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The Deep Noise Suppression (DNS) Challenge is a single-channel speech enhancement
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challenge organized by Microsoft, with a focus on real-time applications.
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More info can be found on the [official page](https://dns-challenge.azurewebsites.net/).
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**References**
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The challenge paper, [here](https://arxiv.org/abs/2001.08662).
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```BibTex
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@misc{DNSChallenge2020,
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title={The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework},
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author={Chandan K. A. Reddy and Ebrahim Beyrami and Harishchandra Dubey and Vishak Gopal and Roger Cheng and Ross Cutler and Sergiy Matusevych and Robert Aichner and Ashkan Aazami and Sebastian Braun and Puneet Rana and Sriram Srinivasan and Johannes Gehrke}, year={2020},
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doi=https://doi.org/10.48550/arXiv.2001.08662,
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}
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```
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## Valentini dataset
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Clean and noisy parallel speech database. The database was designed to train and test speech enhancement methods that operate at 48kHz. A more detailed description can be found in the papers associated with the database.[official page](https://datashare.ed.ac.uk/handle/10283/2791)
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**References**
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```BibTex
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@misc{DNSChallenge2020,
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title={Noisy speech database for training speech enhancement algorithms and TTS models},
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author={Valentini-Botinhao, Cassia}, year={2017},
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doi=https://doi.org/10.7488/ds/2117,
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}
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```
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