Neural Modeling of Magnetic Tape Recorders

Otto Mikkonen, Alec Wright, Eloi Moliner, Vesa Välimäki

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

13 Lataukset (Pure)


The sound of magnetic recording media, such as open-reel and cassette tape recorders, is still sought after by today's sound practitioners due to the imperfections embedded in the physics of the magnetic recording process. This paper proposes a method for digitally emulating this character using neural networks. The signal chain of the proposed system consists of three main components: the hysteretic nonlinearity and filtering jointly produced by the magnetic recording process as well as the record and playback amplifiers, the fluctuating delay originating from the tape transport, and the combined additive noise component from various electromagnetic origins. In our approach, the hysteretic nonlinear block is modeled using a recurrent neural network, while the delay trajectories and the noise component are generated using separate diffusion models, which employ U-net deep convolutional neural networks. According to the conducted objective evaluation, the proposed architecture faithfully captures the character of the magnetic tape recorder. The results of this study can be used to construct virtual replicas of vintage sound recording devices with applications in music production and audio antiquing tasks.
OtsikkoProceedings of the 26th International Conference on Digital Audio Effects (DAFx23)
ToimittajatFederico Fontana, Silvin Willemsen
JulkaisupaikkaCopenhagen, Denmark
TilaJulkaistu - 4 syysk. 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Digital Audio Effects - Copenhagen, Tanska
Kesto: 4 syysk. 20237 syysk. 2023
Konferenssinumero: 26


NimiProceedings of the International Conference on Digital Audio Effects
ISSN (elektroninen)2413-6689


ConferenceInternational Conference on Digital Audio Effects


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