Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels

conference paper Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels accepted yes Jens Heitkämper author 27643 Joerg Schmalenstroeer author 460 Reinhold Haeb-Umbach author 242 54 department 30th European Signal Processing Conference (EUSIPCO) PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing project The intelligibility of demodulated audio signals from analog high frequency transmissions, e.g., using single-sideband (SSB) modulation, can be severely degraded by channel distortions and/or a mismatch between modulation and demodulation carrier frequency. In this work a neural network (NN)-based approach for carrier frequency offset (CFO) estimation from demodulated SSB signals is proposed, whereby a task specific architecture is presented. Additionally, a simulation framework for SSB signals is introduced and utilized for training the NNs. The CFO estimator is combined with a speech enhancement network to investigate its influence on the enhancement performance. The NN-based system is compared to a recently proposed pitch tracking based approach on publicly available data from real high frequency transmissions. Experiments show that the NN exhibits good CFO estimation properties and results in significant improvements in speech intelligibility, especially when combined with a noise reduction network. https://ris.uni-paderborn.de/download/33471/33472/cfo.pdf application/pdf 2022Belgrad eng Proceedings of the 30th European Signal Processing Conference (EUSIPCO) J. Heitkämper, J. Schmalenstroeer, R. Haeb-Umbach, in: Proceedings of the 30th European Signal Processing Conference (EUSIPCO), Belgrad, n.d. Heitkämper, Jens, et al. “Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels.” Proceedings of the 30th European Signal Processing Conference (EUSIPCO). @inproceedings{Heitkämper_Schmalenstroeer_Haeb-Umbach, place={Belgrad}, title={Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels}, booktitle={Proceedings of the 30th European Signal Processing Conference (EUSIPCO)}, author={Heitkämper, Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold} } Heitkämper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (n.d.). Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels. Proceedings of the 30th European Signal Processing Conference (EUSIPCO). 30th European Signal Processing Conference (EUSIPCO), Belgrad. Heitkämper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels.” In Proceedings of the 30th European Signal Processing Conference (EUSIPCO). Belgrad, n.d. J. Heitkämper, J. Schmalenstroeer, and R. Haeb-Umbach, “Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels,” presented at the 30th European Signal Processing Conference (EUSIPCO), Belgrad. Heitkämper J, Schmalenstroeer J, Haeb-Umbach R. Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels. In: Proceedings of the 30th European Signal Processing Conference (EUSIPCO). 334712022-09-22T10:56:13Z2023-10-26T08:15:57Z