A Canadian AI tool is transforming wildlife research by identifying birds and amphibians through sound in remote environments ...

As I am going the finetune only some parts of the model, I need to calculate some intermediate data. Specifically, given an audio sequence, how can I calculate its corresponding speech tokens used by ...

The data-analysis revolution that turned words into analyzable data continues to progress. Now models are turning images, audio, and visual files into data as well. Large language models can capture ...

IntervoxNet incorporates a dual-modal approach, utilizing both the Audio Mel-Spectrogram Transformer (AMST) for audio processing and a hybrid model combining Bidirectional Encoder Representations from ...

Currently, the most prominent method for audio classification is the Audio Spectrogram Transformer (AST). ASTs utilize self-attention mechanisms to capture the global context in audio data but suffer ...

Transformers have become central to recent advances in audio classification. However, training an audio spectrogram transformer, e.g. AST, from scratch can be resource and time-intensive. Furthermore, ...