Abstract: Ultra-low-bitrate speech coding is pivotal for bandwidth-constrained communication and deep compression, yet maintaining naturalness and speaker identity at such extreme bit budgets remains ...
An open-source wake word library for creating voice-enabled applications. Based on openWakeWord with streamlined training: generate synthetic data, augment, train, and export from a single YAML config ...
ABSTRACT: Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately ...
This architecture combines WavLM Large and RawNetX to learn both micro and macro features directly from raw waveforms. The goal is to obtain a fully end-to-end model, avoiding any manual feature ...
Abstract: In this paper, we propose a method to improve the accuracy of speech emotion recognition (SER) by using vision transformer (ViT) to attend to the correlation of frequency (y-axis) with time ...
According to experts in neurology, brain tumours pose a serious risk to human health. The clinical identification and treatment of brain tumours rely heavily on accurate segmentation. The varied sizes ...
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 ...
MELLE is a novel continuous-valued tokens based language modeling approach for text to speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram frames directly from text ...
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