1. What Can We Learn from Large Music Databases? Ellis, Daniel P. W. 2004 Presentations (Communicative Events) Electrical engineeringArtificial intelligence
2. VQ Source Models: Perceptual and Phase Issues Ellis, Daniel P. W.; Weiss, Ron J. 2006 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
3. Voice SourceWaveform Analysis and Synthesis Using Principal Component Analysis and Gaussian Mixture Modelling Gudnason, Jon; Thomas, Mark R. P.; Naylor, Patrick A.; Ellis, Daniel P. W. 2009 Articles Electrical engineering
4. Voice Activity Detection in Personal Audio Recordings Using Autocorrelogram Compensation Lee, Keansub; Ellis, Daniel P. W. 2006 Articles Electrical engineeringArtificial intelligence
5. Using Voice Segments to Improve Artist Classification of Music Berenzweig, Adam; Ellis, Daniel P. W.; Lawrence, Steve 2002 Articles Electrical engineeringArtificial intelligence
6. Using the Soundtrack to Classify Videos Ellis, Daniel P. W. 2011 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
7. Using Speech Models for Separation Ellis, Daniel P. W. 2010 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
8. Using Speech Models for Separation Ellis, Daniel P. W. 2009 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
9. Using Source Models in Speech Separation Ellis, Daniel P. W. 2007 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
10. Using Sound Source Models to Organize Mixtures Ellis, Daniel P. W. 2007 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
11. Using mutual information to design feature combinations Ellis, Daniel P. W.; Bilmes, Jeff A. 2000 Articles Electrical engineeringArtificial intelligence
12. Using Mutual Information to design class-specific phone recognizers Scanlon, Patricia; Ellis, Daniel P. W.; Reilly, Richard 2003 Articles Electrical engineeringArtificial intelligence
13. Using Learned Source Models to Organize Sound Mixtures Ellis, Daniel P. W. 2006 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
14. Using knowledge to organize sound: The prediction-driven approach to computational auditory scene analysis and its application to speech/nonspeech mixtures Ellis, Daniel P. W. 1999 Articles Artificial intelligenceMusic
15. Using Broad Phonetic Group Experts for Improved Speech Recognition Scanlon, Patricia; Ellis, Daniel P. W.; Reilly, Richard B. 2007 Articles Computer engineering
16. Using acoustic condition clustering to improve acoustic change detection on broadcast news Lopez, Javier Ferreiros; Ellis, Daniel P. W. 2000 Articles Electrical engineeringArtificial intelligence
17. Underconstrained stochastic representations for top-down computational auditory scene analysis Ellis, Daniel P. W. 1995 Articles Electrical engineeringArtificial intelligence
18. Transforming Spontaneous to Read Speech Ellis, Daniel P. W. 2005 Presentations (Communicative Events) Electrical engineeringArtificial intelligence
19. Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments Grindlay, Graham C.; Ellis, Daniel P. W. 2011 Articles Electrical engineeringArtificial intelligence
20. Towards Single-Channel Unsupervised Source Separation of Speech Mixtures: The Layered Harmonics/Formants Separation-Tracking Model Reyes-Gomez, Manuel; Jojic, Nebojsa; Ellis, Daniel P. W. 2004 Articles Electrical engineering