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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.
30 Ιουλ 2021 · To help make model-building easier, we have put together a list of over 150 Open Audio and Video Datasets. No matter the requirement—from dataset language to file type to participant gender —there is a dataset perfect for your machine-learning model. Simply browse and sign up to gain access.
30 Ιουλ 2021 · Not only have we included them in an easy listicle format, but we’ve also listed the number of recordings in each dataset, the number of participants involved, the languages of the speech content, the file size, and file type.
100+ Open Audio and Video Datasets. Below is the filterable table from our article 100+ Open Audio and Video Datasets. For help with filtering, see Airtable’s guide to filters. Do you need a custom dataset?
Audio data can come from interviews, focus groups, and naturalistic recordings. You can also take audio data from non-traditional data sources like voice notes, podcasts, music, and more. Let's delve into the collection, analysis, and interpretation of audio data in qualitative research.
These are the main examples of audio data: Music Files: Music files used for sound classification. Speech Recordings: Interviews, podcasts, and dialogues used in speech recognition systems. Environment Samples: Ambient sounds, sound effects, and synthesized sounds used in multimedia.
7 Νοε 2013 · A big part of my research is the collection and use of audio-visual (AV) qualitative data. I use video cameras and microphones to gather information about participants and their experiences, and I use video editing software to compose with this data as a part of the analysis and presentation of findings. Let me be more specific about what this ...
