Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...

In this tutorial, we build an advanced hands-on workflow with the Deepgram Python SDK and explore how modern voice AI capabilities come together in a single Python environment. We set up ...

Audiomentations is a Python library for audio data augmentation, built to be fast and easy to use - its API is inspired by albumentations. It's useful for making audio deep learning models work well ...

Abstract: In this paper, we propose two techniques, namely joint modeling and data augmentation, to improve system performances for audio-visual scene classification (AVSC). We employ pretrained ...

Audiomentations is a Python library for audio data augmentation, built to be fast and easy to use - its API is inspired by albumentations. It's useful for making audio deep learning models work well ...

Apple researchers have published a study that looks into how LLMs can analyze audio and motion data to get a better overview of the user’s activities. Here are the details. They’re good at it, but not ...

Pulse density modulation (PDM) is a compact digital audio format used in devices like MEMS microphones and embedded systems. This compact primer eases you into the essentials of PDM audio. Let’s begin ...

Access to high-quality data provides the foundation for biomedical research. But data access is often limited or challenging due to privacy constraints, whilst the data themselves may be ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...