Researchers at the Machine Listening Lab at QMUL won three of five awards at the 2016 International Symposium on Music Information Retrieval!
Congratulations to everyone for their hard work!
A new collaborative project that will address the problem of automatic transcription of multiple singers has been launched by Queen Mary University of London and Federal University of Rio Grande do Sul (UFRGS – Brazil). The £24k project, entitled “Automatic transcription of polyphonic music recordings“, is funded by the Royal Academy of Engineering through its Newton Research Collaboration Programme, and will last 12 months.
The project involves Dr Rodrigo Schramm (UFRGS) and Dr Emmanouil Benetos (QMUL), and its main goals are to:
1) Propose and develop new technologies to perform automatic transcription of audio recordings generated by multiple singers.
2) Establish a collaborative network between researchers from UFRGS/Brazil and C4DM/UK.
3) Introduce new technologies for music information retrieval which can assist music education in Brazil, especially in the context of e-learning.
To celebrate the new Machine Listening Lab, we’re pleased to announce an afternoon with two invited seminars from distinguished researchers – specialising in speech and in natural sound:
- 14:00: Prof Yiannis Stylianou (University of Crete, Greece)
Adaptive sinusoidal modeling
- 14:50: Dr Mike Wood (University of Salford, Greater Manchester)
Listening to alienated life: Acoustic ecology in Chernobyl
- 16:30: Icebreak event for QMUL researchers – get to know other researchers working in this field.
You can come to any or all of these events.
Location: Bancroft Road room BR4.02 (fourth floor). (Building #10 on the QMUL campus map.)
(For the icebreak event, QMUL researchers please register with the organisers.)
Research workshop, QMUL, London
Monday 19 September 2016
Have you uncovered a “horse” in your domain? Or perhaps discovered a “Potemkin village”?
Call for presentations here.
Funded PhD: “Assessing cattle welfare using their vocalisations” – supervised by Dr Alan McElligott. The application deadline is April 1st.