Design of multi-channel indoor noise database for speech processing in noise

An indoor noise database is essential for development and assessment of distant speech recognition systems operating in indoor environments. This paper proposes a multi-channel indoor noise database. Each noise signal in the proposed database was recorded using a four-channel linear microphone array located in one corner of a living room in a condominium. Noise sources were generated either by physical actions or loudspeakers at various positions inside the condominium, including five different TV contents and 28 indoor noise sources categorized as repeated, stationary, or moving during the database recording. The indoor noise database was then verified by measuring a direction of arrival for each recorded noise source, which showed that the proposed database was suitable for developing and evaluating multi-channel speech processing algorithms in noisy indoor environments.