Specifically, given an audio sequence, how can I calculate its corresponding speech tokens used by code2wav_dit_model and its mel spectrogram used by code2wav_bigvgan_model?

This Collection invites research in AI applications for audio and video processing, focusing on novel architectures, cross-modal learning, performance optimization, and real-world applications.

Audiogenipy is a simple Python script to convert text files into audiobooks effortlessly. Under the hood, Audiogenipy uses the Google Text-to-Speech (gTTS) library, which leverages Google’s advanced ...

Discover how to transcribe audio files using Python with AssemblyAI's Universal-1, a model offering near-human accuracy and multiple pricing tiers for diverse needs.

Various features generated from raw audio signals can be used as an input of a deep learning model. They include hand-crafted features such as mel-frequency cepstral coefficients, two-dimensional time ...

Google DeepMind reveals AI model that can add sounds to your videos, but if you can't wait for it to launch ElevenLabs also has its own version — and it is available today.

Learn How to Add Audio To Video Online with Flixier Learning how to add audio to your video online using Flixier is a straightforward process, thanks to its intuitive design and powerful features.

Processing audio signals to extract speech, remove noise and reverberation, separate multiple talkers experiences a large amount of attention, even after being decades old research topic. Recently, ...