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  1. 16 Νοε 2021 · This repository contains code and data used in Interpreting and Explaining Deep Neural Networks for Classifying Audio Signals. The dataset consists of 30,000 audio samples of spoken digits (0–9) from 60 different speakers.

  2. 15 Δεκ 2022 · Not only this, but 🤗 Datasets comes prepared with multiple audio-specific features that make working with audio datasets easy for researchers and practitioners alike. In this blog, we'll demonstrate these features, showcasing why 🤗 Datasets is the go-to place for downloading and preparing audio datasets.

  3. sample_voice_data - 52 audio files per class (males and females) for testing purposes. SAVEE Dataset - 4 male actors in 7 different emotions, 480 British English utterances in total. SEMAINE - 95 dyadic conversations from 21 subjects.

  4. AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.

  5. Transformer models that solve audio tasks treat examples as sequences and rely on attention mechanisms to learn audio or multimodal representation. Since sequences are different for audio examples at different sampling rates, it will be challenging for models to generalize between sampling rates.

  6. 30 Ιουλ 2021 · For your research, only the best, high-quality audio and video datasets are available. Choose from over 150+ incredible open datasets.

  7. 11 Φεβ 2021 · Audio Classification (End-to-end example and architecture to classify ordinary sounds. Foundational application for a range of scenarios.) Automatic Speech Recognition (Speech-to-Text algorithm and architecture, using CTC Loss and Decoding for aligning sequences.)

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