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Found 6 papers, 2 papers with code
Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification
The correlation between the sharpness of loss minima and generalisation in the context of deep neural networks has been subject to discussion for a long time.
Automatic Emotion Modelling in Written Stories
Telling stories is an integral part of human communication which can evoke emotions and influence the affective states of the audience.
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data
Previous studies have shown the correlation between sensor data collected from mobile phones and human depression states.
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting
Digital health applications are becoming increasingly important for assessing and monitoring the wellbeing of people suffering from mental health conditions like depression.
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
Although these factors play a well-understood role in the performance of ASC models, most works report single evaluation metrics taking into account all different strata of a particular dataset.
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
Text encodings from automatic speech recognition (ASR) transcripts and audio representations have shown promise in speech emotion recognition (SER) ever since.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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