40 results on '"John R. Hershey"'
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2. Improving Bird Classification with Unsupervised Sound Separation.
3. Adapting Speech Separation to Real-World Meetings using Mixture Invariant Training.
4. End-To-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings.
5. Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes.
6. What's all the Fuss about Free Universal Sound Separation Data?
7. Improving Universal Sound Separation Using Sound Classification.
8. The Phasebook: Building Complex Masks via Discrete Representations for Source Separation.
9. Differentiable Consistency Constraints for Improved Deep Speech Enhancement.
10. SDR - Half-baked or Well Done?
11. Alternative Objective Functions for Deep Clustering.
12. Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation.
13. An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech.
14. Speaker Adaptation for Multichannel End-to-End Speech Recognition.
15. End-to-End Multi-Speaker Speech Recognition.
16. Student-teacher network learning with enhanced features.
17. Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition.
18. Deep clustering and conventional networks for music separation: Stronger together.
19. Deep beamforming networks for multi-channel speech recognition.
20. Minimum word error training of long short-term memory recurrent neural network language models for speech recognition.
21. Deep unfolding for multichannel source separation.
22. Deep clustering: Discriminative embeddings for segmentation and separation.
23. Deep NMF for speech separation.
24. Micbots: Collecting large realistic datasets for speech and audio research using mobile robots.
25. Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks.
26. Log-linear dialog manager.
27. Non-negative source-filter dynamical system for speech enhancement.
28. Effectiveness of discriminative training and feature transformation for reverberated and noisy speech.
29. Source localization in reverberant environments using sparse optimization.
30. Stereo-based feature enhancement using dictionary learning.
31. Non-negative dynamical system with application to speech and audio.
32. Indirect model-based speech enhancement.
33. Clustering of bootstrapped acoustic model with full covariance.
34. Single-channel speech separation and recognition using loopy belief propagation.
35. A fast, accurate approximation to log likelihood of Gaussian mixture models.
36. Refactoring acoustic models using variational density approximation.
37. Accelerated Monte Carlo for Kullback-Leibler divergence between Gaussian mixture models.
38. Variational Bhattacharyya divergence for hidden Markov models.
39. Efficient model-based speech separation and denoising using non-negative subspace analysis.
40. Optimizing speech recognition grammars using a measure of similarity between hidden Markov models.
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