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2. A computer implementation of psychoacoustic grouping rules
3. Underconstrained stochastic representations for top-down computational auditory scene analysis
4. Prediction-driven computational auditory scene analysis for dense sound mixtures
5. Computational auditory scene analysis exploiting speech-recognition knowledge
6. The weft: A representation for periodic sounds
7. An Overview of the SPRACH System for the Transcription of Broadcast News
8. Combined speech and speaker recognition with speaker-adapted connectionist models
9. Multi-stream speech recognition: Ready for prime time?
10. Reducing errors by increasing the error rate: MLP Acoustic Modeling for Broadcast News Transcription
11. Size matters: An empirical study of neural network training for large vocabulary continuous speech recognition
12. Speech/music discrimination based on posterior probability features
13. The THISL SDR system at TREC-8
14. Using knowledge to organize sound: The prediction-driven approach to computational auditory scene analysis and its application to speech/nonspeech mixtures
15. Decoding speech in the presence of other sound sources
16. Feature extraction using non-linear transformation for robust speech recognition on the Aurora database
17. Improved recognition by combining different features and different systems
18. Tandem connectionist feature stream extraction for conventional HMM systems
19. Using acoustic condition clustering to improve acoustic change detection on broadcast news
20. Using mutual information to design feature combinations
21. Combining bottom-up and top-down constraints to achieve robust ASR: The multisource decoder
22. Detecting Alarm Sounds
23. Investigations into Tandem Acoustic Modeling for the Aurora Task
24. Locating Singing Voice Segments within Music Signals
25. Multispeaker Speech Activity Detection for the ICSI Meeting Recorder
26. Tandem acoustic modeling in large-vocabulary recognition
27. The Meeting Project at ICSI
28. Connectionist Speech Recognition of Broadcast News
29. Error visualization for tandem acoustic modeling on the Aurora task
30. The Quest for Ground Truth in Musical Artist Similarity
31. Using Voice Segments to Improve Artist Classification of Music
32. A Large-Scale Evaluation of Acoustic and Subjective Music Similarity Measures
33. Anchor Space for Classification and Similarity Measurement of Music
34. Audio Information Access from Meeting Rooms
35. Chord Segmentation and Recognition using EM-Trained Hidden Markov Models
36. Frequency-domain linear prediction for temporal features
37. Ground-Truth Transcriptions of Real Music from Force-Aligned MIDI Syntheses
38. Multi-channel Source Separation by Beamforming Trained with Factorial HMMs
39. Multi-channel Source Separation by Factorial HMMs
40. Pitch-based emphasis detection for characterization of meeting recordings
41. Selection, Parameter Estimation, and Discriminative Training of Hidden Markov Models for General Audio Modeling
42. Sound Texture Modelling with Linear Prediction in both Time and Frequency Domains
43. The ICSI Meeting Corpus
44. Toward Evaluation Techniques for Music Similarity
45. Using Mutual Information to design class-specific phone recognizers
46. A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures
47. Automatic Record Reviews
48. Detailed graphical models for source separation and missing data interpolation in audio
49. Eigenrhythms: Drum pattern basis sets for classification and generation
50. Features for segmenting and classifying long-duration recordings of "personal" audio
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