TY - JOUR
T1 - InverSynth
T2 - Deep Estimation of Synthesizer Parameter Configurations from Audio Signals
AU - Barkan, Oren
AU - Tsiris, David
AU - Katz, Ori
AU - Koenigstein, Noam
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Sound synthesis is a complex field that requires domain expertise. Manual tuning of synthesizer parameters to match a specific sound can be an exhaustive task, even for experienced sound engineers. In this paper, we introduce InverSynth-an automatic method for synthesizer parameters tuning to match a given input sound. InverSynth is based on strided convolutional neural networks and is capable of inferring the synthesizer parameters configuration from the input spectrogram and even from the raw audio. The effectiveness InverSynth is demonstrated on a subtractive synthesizer with four frequency modulated oscillators, envelope generator and a gater effect. We present extensive quantitative and qualitative results that showcase the superiority InverSynth over several baselines. Furthermore, we show that the network depth is an important factor that contributes to the prediction accuracy.
AB - Sound synthesis is a complex field that requires domain expertise. Manual tuning of synthesizer parameters to match a specific sound can be an exhaustive task, even for experienced sound engineers. In this paper, we introduce InverSynth-an automatic method for synthesizer parameters tuning to match a given input sound. InverSynth is based on strided convolutional neural networks and is capable of inferring the synthesizer parameters configuration from the input spectrogram and even from the raw audio. The effectiveness InverSynth is demonstrated on a subtractive synthesizer with four frequency modulated oscillators, envelope generator and a gater effect. We present extensive quantitative and qualitative results that showcase the superiority InverSynth over several baselines. Furthermore, we show that the network depth is an important factor that contributes to the prediction accuracy.
KW - Deep synthesizer parameter estimation
KW - InverSynth
KW - automatic sound synthesis
KW - inverse problems
UR - http://www.scopus.com/inward/record.url?scp=85078708577&partnerID=8YFLogxK
U2 - 10.1109/TASLP.2019.2944568
DO - 10.1109/TASLP.2019.2944568
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AN - SCOPUS:85078708577
SN - 2329-9290
VL - 27
SP - 2385
EP - 2396
JO - IEEE/ACM Transactions on Audio Speech and Language Processing
JF - IEEE/ACM Transactions on Audio Speech and Language Processing
IS - 12
M1 - 8854832
ER -