Literature DB >> 30522270

Acoustic interactions for robot audition: A corpus of real auditory scenes.

Caleb Rascon1, Ivan V Meza1, Aldo Millan-Gonzalez1, Ivette Velez1, Gibran Fuentes1, Dennis Mendoza1, Oscar Ruiz-Espitia1.   

Abstract

The Acoustic Interactions for Robot Audition corpus is introduced for research on sound source localization and separation, and for multi-user speech recognition. Its aim is to evaluate and train Robot Audition techniques, as well as Auditory Scene Analysis in general. It was recorded in six real-life environments with different noise presence and reverberation time, using two array configurations: an equilateral triangle, and a three-dimensional 16-microphone array set over a hollow plastic body. It includes clean speech data for static sources and tracking information for mobile sources. It is freely available at https://aira.iimas.unam.mx/.

Mesh:

Year:  2018        PMID: 30522270     DOI: 10.1121/1.5078769

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  ODAS: Open embeddeD Audition System.

Authors:  François Grondin; Dominic Létourneau; Cédric Godin; Jean-Samuel Lauzon; Jonathan Vincent; Simon Michaud; Samuel Faucher; François Michaud
Journal:  Front Robot AI       Date:  2022-05-11

2.  On the Use of the AIRA-UAS Corpus to Evaluate Audio Processing Algorithms in Unmanned Aerial Systems.

Authors:  Caleb Rascon; Oscar Ruiz-Espitia; Jose Martinez-Carranza
Journal:  Sensors (Basel)       Date:  2019-09-10       Impact factor: 3.576

  2 in total

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