WavTTS is an end-to-end zero-shot TTS framework that generates speech directly in the raw waveform space, without relying on intermediate acoustic representations such as mel-spectrograms, VAE latents ...
ABSTRACT: The aim of this research is to develop a speech synthesis model tailored towards Nigerian languages by leveraging natural language processing tool such as FastSpeech 2 and meta-tts for ...
ABSTRACT: The aim of this research is to develop a speech synthesis model tailored towards Nigerian languages by leveraging natural language processing tool such as FastSpeech 2 and meta-tts for ...
Edge cloud applications have become vital as out-dated cloud architectures face challenges in handling increasing data volumes, especially for audio signals. This article reports on a simple edge ...
Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT. Zafar ...
In marine ecology research, it is crucial to accurately identify the marine mammal species active in the target area during the current season, which helps researchers understand the behavioral ...
This valuable study provides an experimental paradigm and state-of-the-art analysis method for studying the existence of call types and transition differences among Mongolian gerbil families in a ...
Abstract: Heart murmurs can be an effective indicator of medical problems with a person’s heart. If machine learning algorithms can be designed to detect heart murmurs in audio files containing ...
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 ...
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