Low-Complexity Audio Embedding Extractors

• Published in: 2023 31st European Signal Processing Conference (EUSIPCO) pp. 451 - 455
• Main Authors: Schmid, Florian, Koutini, Khaled, Widmer, Gerhard
• Format: Conference Proceeding
• Language: English
• Published: EURASIP 04.09.2023
• Subjects: Analytical models; audio representation learning; Complexity theory; Computational modeling; Feature extraction; General-purpose audio embeddings; HEAR benchmark; low-complexity CNNs; Signal processing; Tagging; Transformers

Solving tasks such as speaker recognition, music classification, or semantic audio event tagging with deep learning models typically requires computationally demanding networks. General-purpose audio embed dings (GPAEs) are dense representations of audio signals that allow lightweight, shallow class...