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Disambiguation of "weih Hung, Jeih"

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ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning.

, , and . CoRR, (2024)

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Yousef Jeihouni

Markus Weih

Frank Weih

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Other publications of authors with the same name

Subband Feature Statistics Normalization Techniques Based on a Discrete Wavelet Transform for Robust Speech Recognition., and . IEEE Signal Process. Lett., 16 (9): 806-809 (2009)ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning., , and . CoRR, (2024)Time-Reversal Enhancement Network With Cross-Domain Information for Noise-Robust Speech Recognition., , , and . IEEE Multim., 29 (1): 114-124 (2022)Cepstral Statistics Compensation Using Online Pseudo Stereo Codebooks for Robust Speech Recognition in Additive Noise Environments.. ICASSP (1), page 513-516. IEEE, (2006)Optimization of Temporal Filters in the Modulation Frequency Domain via Constrained Linear Discriminant Analysis (C-LDA) for Constructing Robust Features in Speech Recognition.. ICASSP (4), page 805-808. IEEE, (2007)Smoothing the acoustic spectral time series of speech signals for noise reduction., , , and . ICCE-TW, page 1-2. IEEE, (2019)Data-driven temporal filters obtained via different optimization criteria evaluated on Aurora2 database., and . INTERSPEECH, page 441-444. ISCA, (2002)最小變異數調變頻譜濾波器於強健性語音辨識之研究 (A Study of Minimum Variance Modulation Filter for Robust Speech Recognition) In Chinese., , and . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2010)多樣訊雜比之訓練語料於降噪自動編碼器其語音強化功能之初步研究 (A Preliminary Study of Various SNR-level Training Data in the Denoising Auto-encoder (DAE) Technique for Speech Enhancement) In Chinese., , , and . ROCLING, page 101-113. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2017)強健性語音辨識中基於小波轉換之分頻統計補償技術的研究 (A Study of Sub-band Feature Statistics Compensation Techniques Based on a Discrete Wavelet Transform for Robust Speech Recognition) In Chinese., , and . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2009)