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Semi-supervised Time Domain Target Speaker Extraction with Attention



Zhepei Wang , Ritwik Giri , Shrikant Venkataramani , Umut Isik , Jean-Marc Valin , Paris Smaragdis , Mike Goodwin , Arvindh Krishnaswamy


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Learning Representations for New Sound Classes With Continual Self-Supervised Learning



Zhepei Wang , Cem Subakan , Xilin Jiang , Junkai Wu , Efthymios Tzinis , Mirco Ravanelli , Paris Smaragdis

* Submitted to IEEE Signal Processing Letters 

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Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model



Jean-Marc Valin , Ahmed Mustafa , Christopher Montgomery , Timothy B. Terriberry , Michael Klingbeil , Paris Smaragdis , Arvindh Krishnaswamy

* Submitted to INTERSPEECH 2022 

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Meta-AF: Meta-Learning for Adaptive Filters



Jonah Casebeer , Nicholas J. Bryan , Paris Smaragdis

* Source code and audio examples: https://jmcasebeer.github.io/projects/metaaf 

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Heterogeneous Target Speech Separation



Efthymios Tzinis , Gordon Wichern , Aswin Subramanian , Paris Smaragdis , Jonathan Le Roux

* Submitted to Interspeech 2022 

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End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation



Krishna Subramani , Jean-Marc Valin , Umut Isik , Paris Smaragdis , Arvindh Krishnaswamy

* Submitted to INTERSPEECH 2022 

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Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet



Jean-Marc Valin , Umut Isik , Paris Smaragdis , Arvindh Krishnaswamy

* Accepted for ICASSP 2022, 5 pages 

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RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing



Efthymios Tzinis , Yossi Adi , Vamsi Krishna Ithapu , Buye Xu , Paris Smaragdis , Anurag Kumar

* Submitted to IEEE Journal of Selected Topics in Signal Processing 

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Auto-DSP: Learning to Optimize Acoustic Echo Cancellers



Jonah Casebeer , Nicholas J. Bryan , Paris Smaragdis

* Accepted to the 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). Source code and audio examples: https://jmcasebeer.github.io/projects/auto-dsp/ 

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