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Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models.

, , , , and . INTERSPEECH, page 981-985. ISCA, (2018)

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DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters., , , , , and . Speech Commun., (2019)"Computer, Test My Hearing": Accurate Speech Audiometry with Smart Speakers., , , , and . INTERSPEECH, page 4095-4099. ISCA, (2019)tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context., and . INTERSPEECH, page 2903-2907. ISCA, (2022)Speech Intelligibility Prediction for Hearing-Impaired Listeners with the LEAP Model., , , , , , , and . INTERSPEECH, page 3498-3502. ISCA, (2022)Low Bit Rate Binaural Link for Improved Ultra Low-Latency Low-Complexity Multichannel Speech Enhancement in Hearing Aids., and . WASPAA, page 1-5. IEEE, (2023)Acoustic Echo Cancellation with the Dual-Signal Transformation LSTM Network., and . ICASSP, page 7138-7142. IEEE, (2021)Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping., , and . ICASSP, page 1-5. IEEE, (2023)Towards Non-Intrusive Prediction of Speech Recognition Thresholds in Binaural Conditions., , , , , , , , and . ITG Conference on Speech Communication, page 1-5. VDE, (2021)Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models., , , , and . INTERSPEECH, page 981-985. ISCA, (2018)Multilingual non-intrusive binaural intelligibility prediction based on phone classification., , and . Comput. Speech Lang., (2025)