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- Title
AN OVERVIEW OF METHODS FOR GENERATING, AUGMENTING AND EVALUATING ROOM IMPULSE RESPONSE USING ARTIFICIAL NEURAL NETWORKS.
- Authors
TAMULIONIS, Mantas
- Abstract
Methods based on artificial neural networks (ANN) are widely used in various audio signal processing tasks. This provides opportunities to optimize processes and save resources required for calculations. One of the main objects we need to get to numerically capture the acoustics of a room is the room impulse response (RIR). Increasingly, research authors choose not to record these impulses in a real room but to generate them using ANN, as this gives them the freedom to prepare unlimited-sized training datasets. Neural networks are also used to augment the generated impulses to make them similar to the ones actually recorded. The widest use of ANN so far is observed in the evaluation of the generated results, for example, in automatic speech recognition (ASR) tasks. This review also describes datasets of recorded RIR impulses commonly found in various studies that are used as training data for neural networks.
- Subjects
ARTIFICIAL neural networks; IMPULSE response; AUTOMATIC speech recognition; ARCHITECTURAL acoustics; SIGNAL processing; DATA augmentation
- Publication
Science: Future of Lithuania / Mokslas: Lietuvos Ateitis, 2021, Vol 13, p1
- ISSN
2029-2341
- Publication type
Article
- DOI
10.3846/mla.2021.15152