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Performance comparison of intrusive and non-intrusive instrumental quality measures for enhanced speech.

, , , , and . IWAENC, page 1-5. IEEE, (2016)

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Intrusive Quality Measurement of Noisy and Enhanced Speech based on i-Vector Similarity., , , and . QoMEX, page 1-5. IEEE, (2019)Automatic speaker verification from affective speech using Gaussian mixture model based estimation of neutral speech characteristics., , and . Speech Commun., (2021)On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications., , , , , , , and . CoRR, (2023)Low-bit Shift Network for End-to-End Spoken Language Understanding., , , , , and . INTERSPEECH, page 2698-2702. ISCA, (2022)On the use of the i-vector speech representation for instrumental quality measurement., , , and . Qual. User Exp., (2020)Performance comparison of intrusive and non-intrusive instrumental quality measures for enhanced speech., , , , and . IWAENC, page 1-5. IEEE, (2016)On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild"., , , , and . CoRR, (2023)Blind Channel Response Estimation for Replay Attack Detection., , , and . INTERSPEECH, page 2893-2897. ISCA, (2019)Speech-Based Stress Classification based on Modulation Spectral Features and Convolutional Neural Networks., , , , , and . EUSIPCO, page 1-5. IEEE, (2019)Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting Under White-Box Adversarial Attacks., , , , and . SMC, page 1672-1677. IEEE, (2023)