🎉 The successor to this repository, Masked Modeling Duo (M2D), is now available. If you are starting a new project, please use M2D instead of this repository. The table below compares EVAR benchmark ...

Inflammatory bowel disorders may result in abnormal Bowel Sound (BS) characteristics during auscultation. We employ pattern spotting to detect rare bowel BS events in continuous abdominal recordings ...

Abstract: In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the ...

Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced speech synthesis quality and are increasingly vital in applications like ...

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 ...

The Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (ASR) as well as translated into English ...

Three approaches were evaluated and compared to detect depression using data sets with text-dependent read speech tasks: conventional machine learning models based on acoustic features, a proposed ...

Whisper stands tall as OpenAI's cutting-edge speech recognition solution, expertly honed with 680,000 hours of web-sourced multilingual and multitask data. This robust and versatile dataset cultivates ...