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Update: I also changed the way I packaged my EZsetup in the previous note. The updated version is labeled simply as "EZsetup_2020-07-16.zip". Also included is a new release of the EZsetup for 8-channel AAX Integrates. NOTE: The EZsetup can produce AAX Integrates, but I still recommend using it as an AAX project for the best performance. It is a complex workflow and the results are very good. I’m not sure I support this release, since it has extra features. I still only support the standalone version. If there is interest, I will release an EZ setup that also supports the Integration in the future. The standalone version will always be less restrictive. If you would like to use the standalone version, please find the standalone version of the EZ setup from the link under the Downloads for the EZ setup and unzip the file. Then load it into your audio software.
A dataset for recognizing the categories and sentiments of spoken sentences in Malayalam, spoken by 30 speakers. The dataset consists of three subsets. The first set consists of 20 non-duplicated spoken sentences; the second subset consists of 22 spoken sentences (all of which are rated with a positive sentiment); and the third subset consists of the 18 spoken sentences rated with a negative sentiment. Optionally, the system can be trained on the whole dataset or any subset. However, we unpacked all the files and provided the same functionality as if we had trained with the whole dataset. So you can train on all or any subset of the items in the dataset, and you’re good to go!
This repo contains the Audio and Visual Human-Computer Interaction Dataset (AV-HCID), a dataset for multi-modal HCI study. In addition to the audio and video files, this dataset also contains a video annotation file for each segment of the audio. It includes 13 segments for each audio file.
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