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Achieving 2.8x compression in on-device speech tokenizers without sacrificing accuracy could revolutionize mobile AI applications.
Phy-BP filters low-quality signals and leverages physical modeling to achieve robust blood pressure monitoring from triaxial bodyseismography, even with sparse data.
Google Telephony not only rivals but sometimes outperforms human listeners in recognizing diverse speech, challenging traditional views on ASR limitations.
Personalized dysarthric speech recognition models can outperform human listeners, despite both facing significant challenges in understanding severe dysarthric speech.
Modern speech enhancement algorithms may not improve ASR performance in realistic noisy environments, challenging assumptions about their effectiveness in real-world applications.
