Thank you for developing this wonderful framework! I've been working with a dataset containing highly overlapping vocalizations where I'm seeing good detection performance on non-overlapping segments ...
Abstract: Speech emotion recognition (SER) has become a major area of investigation in human-computer interaction. Conventionally, SER is formulated as a classification problem that follows a common ...
We publish the best academic papers on rule-based techniques, LLMs, & the generation of text that resembles human text. byWritings, Papers and Blogs on Text Models@textmodels byWritings, Papers and ...
This addresses the observed discrepancies between mel spectrograms generated using the Python librosa library and the Android JLibrosa library. While the spectrograms are quite similar, there are ...
Benjamin A. Jancovich's work is funded by the Australian government's Research Training Program. In a new study published in Ecology and Evolution, we show the limitations of one of the most common ...
Department of Computer Sciences, Suez Canal University, Ismailia, Egypt. Analyzing big data, especially medical data, helps to provide good health care to patients and face the risks of death. The ...
In this study, we propose a simple yet effective method for incorporating the source speaker's characteristics in the target speaker's speech. This allows our model to generate the speech of the ...
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