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9 Νοε 2023 · Audio is the representation of sound as a set of electrical impulses or digital data. It is the process of converting sound into an electrical signal that may be stored, transferred, or processed. The electrical signal is subsequently transformed back into sound, which a listener may hear.
15 Δεκ 2022 · It is home to a growing collection of audio datasets that span a variety of domains, tasks and languages. Through tight integrations with 🤗 Datasets, all the datasets on the Hub can be downloaded in one line of code. Let's head to the Hub and filter the datasets by task: Speech Recognition Datasets on the Hub.
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.
Examples of audio data include speech data, sound classification samples, and audio annotations. This data is crucial for developing machine learning models, generative AI, and speech recognition systems. On this page, you’ll find the best data sources for various types of audio data.
For example, when working with a music recording, you can see the various instruments and vocal tracks and how they contribute to the overall sound. In speech, you can identify different vowel sounds as each vowel is characterized by particular frequencies.
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.
27 Αυγ 2021 · This article gets you started with audio data. This includes audio and voice data analysis using deep learning with case study on various sounds.
