Search Results - Le Roux, Jonathan

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  1. 1
    Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error

    Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error by McDermott, E., Hazen, T.J., Le Roux, J., Nakamura, A., Katagiri, S.

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  2. 2
    Class-conditional Embeddings for Music Source Separation

    Class-conditional Embeddings for Music Source Separation by Seetharaman, Prem, Wichern, Gordon, Venkataramani, Shrikant, Roux, Jonathan Le

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  3. 3
    Deep clustering-based single-channel speech separation and recent advances

    Deep clustering-based single-channel speech separation and recent advances by Aihara, Ryo, Wichern, Gordon, Roux, Jonathan Le

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  4. 4
    Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation

    Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation by Wang, Zhong-Qiu, Wichern, Gordon, Roux, Jonathan Le

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  5. 5
    Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks

    Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks by Petermann, Darius, Wichern, Gordon, Subramanian, Aswin Shanmugam, Wang, Zhong-Qiu, Roux, Jonathan Le

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  6. 6
    SDR - Half-baked or Well Done?

    SDR - Half-baked or Well Done? by Roux, Jonathan Le, Wisdom, Scott, Erdogan, Hakan, Hershey, John R.

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  7. 7
    End-to-End Multi-Speaker Speech Recognition

    End-to-End Multi-Speaker Speech Recognition by Settle, Shane, Roux, Jonathan Le, Hori, Takaaki, Watanabe, Shinji, Hershey, John R.

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  8. 8
    Hyperbolic Unsupervised Anomalous Sound Detection

    Hyperbolic Unsupervised Anomalous Sound Detection by Germain, Francois G., Wichern, Gordon, Roux, Jonathan Le

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  9. 9
    Streaming Automatic Speech Recognition with the Transformer Model

    Streaming Automatic Speech Recognition with the Transformer Model by Moritz, Niko, Hori, Takaaki, Le, Jonathan

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  10. 10
    Latent Iterative Refinement for Modular Source Separation

    Latent Iterative Refinement for Modular Source Separation by Bralios, Dimitrios, Tzinis, Efthymios, Wichern, Gordon, Smaragdis, Paris, Roux, Jonathan Le

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  11. 11
    Alternative Objective Functions for Deep Clustering

    Alternative Objective Functions for Deep Clustering by Wang, Zhong-Qiu, Roux, Jonathan Le, Hershey, John R.

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  12. 12
    Triggered Attention for End-to-end Speech Recognition

    Triggered Attention for End-to-end Speech Recognition by Moritz, Niko, Hori, Takaaki, Roux, Jonathan Le

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  13. 13
    An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech

    An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech by Seki, Hiroshi, Watanabe, Shinji, Hori, Takaaki, Roux, Jonathan Le, Hershey, John R.

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  14. 14
    Deep clustering: Discriminative embeddings for segmentation and separation

    Deep clustering: Discriminative embeddings for segmentation and separation by Hershey, John R., Zhuo Chen, Le Roux, Jonathan, Watanabe, Shinji

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  15. 15
    Deep clustering and conventional networks for music separation: Stronger together

    Deep clustering and conventional networks for music separation: Stronger together by Luo, Yi, Chen, Zhuo, Hershey, John R., Le Roux, Jonathan, Mesgarani, Nima

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  16. 16
    End-To-End Multi-Speaker Speech Recognition With Transformer

    End-To-End Multi-Speaker Speech Recognition With Transformer by Chang, Xuankai, Zhang, Wangyou, Qian, Yanmin, Roux, Jonathan Le, Watanabe, Shinji

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  17. 17
    WHAMR!: Noisy and Reverberant Single-Channel Speech Separation

    WHAMR!: Noisy and Reverberant Single-Channel Speech Separation by Maciejewski, Matthew, Wichern, Gordon, McQuinn, Emmett, Roux, Jonathan Le

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  18. 18
    Anomalous Sound Detection Using Attentive Neural Processes

    Anomalous Sound Detection Using Attentive Neural Processes by Wichern, Gordon, Chakrabarty, Ankush, Wang, Zhong-Qiu, Roux, Jonathan Le

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  19. 19
    The Phasebook: Building Complex Masks via Discrete Representations for Source Separation

    The Phasebook: Building Complex Masks via Discrete Representations for Source Separation by Roux, Jonathan Le, Wichern, Gordon, Watanabe, Shinji, Sarroff, Andy, Hershey, John R.

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  20. 20
    On the Compensation Between Magnitude and Phase in Speech Separation

    On the Compensation Between Magnitude and Phase in Speech Separation by Wang, Zhong-Qiu, Wichern, Gordon, Le Roux, Jonathan

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