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English Spoken Digits Database under noise conditions for research: SDDN

Abstract : In this paper, we introduce a modified database for English spoken digits under all types of noise conditions (SDDN). This database was designed for use in scientific research, especially in the field of speech enhancement, noise robustness, background noise, speech recognition, noise reduction, signal processing. It was synthesized by a set of open source spoken numbers of the public on the network, in particular from Speech Commands Dataset v0.02 released by Google's TensorFlow and AIYteams. Various types of real and artificial noise were added for a SNR from 10 dB to -10 dB to make them more suitable for reality. The AURORA, CHiME3 and NOISEX-92 databases were used to select noise types.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02368315
Contributor : Miloud Frikel <>
Submitted on : Monday, November 18, 2019 - 2:48:06 PM
Last modification on : Friday, March 27, 2020 - 5:28:38 PM

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A. Ouisaadane, Said Safi, M. Frikel. English Spoken Digits Database under noise conditions for research: SDDN. 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), Apr 2019, Fez, Morocco. pp.1-5, ⟨10.1109/WITS.2019.8723698⟩. ⟨hal-02368315⟩

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