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Context-Aware Speech Stress Detection in Hospital Workers Using Bi-LSTM Classifiers
PDF) TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers
Proceedings of the 4th ACM Workshop on Wearable Systems and Applications: TILES audio recorder: an unobtrusive wearable solution
PDF] TarsosDSP, a Real-Time Audio Processing Framework in Java | Semantic Scholar
9 Extraction of MFCC for a Frame | Download Scientific Diagram
PDF) TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers
TarsosDSP/MFCC.java at master · JorenSix/TarsosDSP · GitHub
PDF) The Orchive: A system for semi-automatic annotation and analysis of a large collection of bioacoustic recordings | Steven Ness - Academia.edu
Proceedings of the 4th ACM Workshop on Wearable Systems and Applications: TILES audio recorder: an unobtrusive wearable solution
PDF) TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers
Full article: Computational Analysis of Turkish Makam Music: Review of State-of-the-Art and Challenges
Engineering systematic musicology
9 Extraction of MFCC for a Frame | Download Scientific Diagram
android-speaker-audioanalysis/RecordingMfccService.java at master · wahibhaq/android-speaker-audioanalysis · GitHub
PDF] TarsosDSP, a Real-Time Audio Processing Framework in Java | Semantic Scholar
PDF] TarsosDSP, a Real-Time Audio Processing Framework in Java | Semantic Scholar
9 Extraction of MFCC for a Frame | Download Scientific Diagram
EXTRACTING MFCC AND GTCC FEATURES FOR EMOTION RECOGNITION FROM AUDIO SPEECH SIGNALS | IJRCAR JOURNAL - Academia.edu
mfcc-extractor · GitHub Topics · GitHub
THESIS DEVELOPMENT OF A SENSORY SUBSTITUTION API
CS2310 Project Report Matthew O'Brien My project is an extension to the SIS system which, taking input from a microphone sensor,
Tarsos MFCC android · Issue #110 · JorenSix/TarsosDSP · GitHub
PDF) TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit
Engineering systematic musicology
PDF) TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit
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