About me

I am currently working with Assistant Professor Annamaria Mesaros, group leader of the Machine Listening Group at Tampere university.

My research interests include audio signal processing, machine learning, acoustic scene classification and sound event detection.

My career

For a brief and compact overview, take a look at my 2-page CV. I have been working as a postdoctoral research fellow at the Machine Listening Group, at Tampere University since 2020. Between February and August of 2020 I was a Postdoc in the Image and Signal Processing group. I received my PhD in 2019 from the Universitat de València, where I worked in the signal processing and acoustic technology group. I have worked on acoustic signal processing, more specifically in the field of sound event recognition, the topic of my PhD thesis.

I have diverse research interests and I am always happy to dive into a new area.

Contact

Tampere University
Korkeakoulunkatu 7
33720 Tampere
Finland

Office: Korkeakoulunkatu 1, Tietotalo building C338
Email: irene.martinmorato[at]tuni.fi

Datasets

• MAESTRO Real: Multiple Annotator Estimated STROng labels, contains 49 audio files from 5 different real acoustic scenes, each of them from 3 to 5 min long.
• MAESTRO Synthetic: Multiple Annotator Estimated STROng labels, contains 20 audio files created using Scaper, each of them 3 min long.
• MACS: Multi-Annotator Captioned Soundscapes, contains audio captions and corresponding audio tags for a number of 3930 audio files of the TAU Urban Acoustic Scenes 2019 development dataset (airport, public square and park)
• MATS: Multi-Annotator Tagged Soundscapes, contains audio tags from 133 annotators for a number of 3930 audio files of the TAU Urban Acoustic Scenes 2019 development dataset (airport, public square and park)