How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
GitHub

convert_music_spectrogram_to_diffusers.py

model.token_embedder.weight = nn.Parameter(torch.Tensor(weights["token_embedder"]["embedding"])) model.position_encoding.weight = nn.Parameter(torch.Tensor(weights ...
GitHub

Deep learning scaffold for decoding audible Morse code into text on macOS with GPU acceleration (MPS). The project is set up for training a CTC acoustic model on log-mel ...

PyTorch wheels for Apple Silicon/Intel macOS include MPS support. Verify the device at runtime (the training script does this automatically): There isn’t a widely used public Morse-audio benchmark; ...
Northcountrypublicradio.org

It Took A Musician's Ear To Decode The Complex Song In Whale Calls

Male humpback whales create "songs" together, scientists say. Katy Payne was the first to hear the shifts in pitch and pattern in the collective... It Took A Musician's Ear To Decode The Complex Song ...
IEEE

Audio Sentiment Analysis with Spectrogram Representations and Transformer Models

Abstract: Recent advancements in the domain of computer vision have enabled the analysis of audio spectrograms. In this paper, we present a novel approach that leverages spectrogram representations ...
IEEE

Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging

Abstract: The integration of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) can facilitate the advancement of brain-computer interfaces (BCIs). However, existing ...