[2606.01009] MelT: GEMM-Native NDFT for Efficient Single-Stage Audio Frontends on Modern Accelerators

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Computer Science > Sound

arXiv:2606.01009 (cs)

[Submitted on 31 May 2026]

Title:MelT: GEMM-Native NDFT for Efficient Single-Stage Audio Frontends on Modern Accelerators

Authors:Augusto Camargo, Marcelo Finger<br>View a PDF of the paper titled MelT: GEMM-Native NDFT for Efficient Single-Stage Audio Frontends on Modern Accelerators, by Augusto Camargo and Marcelo Finger

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Abstract:Modern audio processing networks are commonly deployed on accelerators whose peak throughput is obtained through dense linear algebra, whereas conventional acoustic frontends -- a Short-Time Fourier Transform (STFT) followed by sparse Mel aggregation -- remain structurally heterogeneous. This mismatch can introduce memory-bandwidth, dispatch, and intermediate-allocation overheads on contemporary accelerator backends. This work introduces MelT, a single-stage frontend framework in which Mel-spaced Non-Uniform Discrete Fourier Transform (NDFT) bases are precomputed and applied to time-domain acoustic frames through dense General Matrix Multiplication (GEMM) operations. The contribution is not the NDFT operator itself; rather, it is the formulation of Mel-spaced NDFT projection as a GEMM-native audio frontend and its evaluation as a hardware-efficient alternative to conventional STFT+Mel pipelines. Evaluated across platforms ranging from Apple A18 Pro edge hardware to NVIDIA H100 datacenter acceleration, MelT attains up to a $3.75\times$ speedup in inference latency and a $3.52\times$ reduction in energy consumption while maintaining downstream classification accuracy.

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Sound (cs.SD)

Cite as:<br>arXiv:2606.01009 [cs.SD]

(or<br>arXiv:2606.01009v1 [cs.SD] for this version)

https://doi.org/10.48550/arXiv.2606.01009

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arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Augusto Camargo [view email]<br>[v1]<br>Sun, 31 May 2026 04:53:12 UTC (36 KB)

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View a PDF of the paper titled MelT: GEMM-Native NDFT for Efficient Single-Stage Audio Frontends on Modern Accelerators, by Augusto Camargo and Marcelo Finger<br>View PDF<br>HTML (experimental)<br>TeX Source

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