This position is offered through the ANU Computing Internship
ML Research Labs performs leading research and applications in deep learning.
There are 3 internship projects on offer with ML Research Labs
Project 2: (ML Labs Class of 2022 Challenge 2) Sentiment Analysis via Audio
Natural language understanding in machine learning usually involves tasks around text such as sentiment analysis, relation extraction and named entity extraction. However, intelligent natural language understanding is more than about text. Spoken language conveys meanings that can not be gleaned from text alone, such as the tone of voice, the silence in between utterances. Besides the audio, body language plays a role in communication. In the hope of one step closer to machine intelligence, our internship challenges aim to solve various pieces of this grand challenge.
Challenge Objective: We focus on the audio-based Emotion Detection. We’d like to detect the Emotions in a speech or a song.
There is a list of dataset. Some of them also have video files, even audio files.
A few interesting dataset:
1, (small, diverse)RAVDESS: this dataset has 1500 audio files and 8 different emotions(neural, calm, happy, sad, angry, fearful, disgust, surprised).
2, (large, diverse)MSP-Podcast corpus: This corpus is annotated with emotional labels using attribute-based descriptors (activation, dominance and valence) and categorical labels (anger, happiness, sadness, disgust, surprised, fear, contempt, neutral and other).
Paper: You may like this DeepMind 2021 paper: perceiver, which is memory efficient and a beautiful idea. Other ideas are also welcome.
Required/preferred technical skills or experience in software languages, environments, platforms.
Python, Tensorflow, Pytorch, Linux, Git
Required professional skills
- Able to brainstorm and learn in both group and individual setting
- Clarity in technical communication
Student must be located in Canberra only.
The Intern will be required to get a Police Check.
All students are encouraged to apply, but priority is given to citizens and permanent residents.
Applications are invited from eligible students to apply for the Computing Internship courses COMP3280 or COMP8830. Eligibility details and further information about the Computing Internship can be found on the Computing Internship page.
1. Students must first seek confirmation of eligibility by submitting an Eligibility and Room Available in degree check.
2. Eligible students can then apply through the Computing Internship application form. You can nominate multiple preferred Internship placements through the one application form.
3. Your application will require you to upload the following documents:
- an updated copy of your Resume, and
- an Expression of Interest (limit 350 words) for each organisation you wish to apply to (for organisations with multiple projects only submit one Expression of Interest but state clearly which project/s you wish to be considered for).
Applications open on 29 October and close on 7 November 2021.