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Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs
2021
Electronics
In recent years, Environmental Sound Recognition (ESR) has become a relevant capability for urban monitoring applications. The techniques for automated sound recognition often rely on machine learning approaches, which have increased in complexity in order to achieve higher accuracy. Nonetheless, such machine learning techniques often have to be deployed on resource and power-constrained embedded devices, which has become a challenge with the adoption of deep learning approaches based on
doi:10.3390/electronics10212622
fatcat:q5u64r6lzfhlbbotdnqinih5xe