Dr Simone Graetzer's Outputs (11)

Understanding human responses to air source heat pump noise: examining tonal changes and operating cycles (2024)
Presentation / Conference Contribution

Air Source Heat Pumps are pivotal in the Government of the United Kingdom's target of achieving net zero carbon emissions by 2050. However, their widespread adoption faces challenges, with noise being among the main barriers to entry and a restrictin... Read More about Understanding human responses to air source heat pump noise: examining tonal changes and operating cycles.

Higher-fidelity analysis of air source heat pump noise via scanning intensity measurement (2024)
Presentation / Conference Contribution

The need to shift to reduce carbon emissions to hit Net Zero is currently driving plans for large scale rollouts of Air Source Heat Pumps (ASHPs), due to their increased thermal efficiency and lack of direct carbon emissions. Concern exists, however,... Read More about Higher-fidelity analysis of air source heat pump noise via scanning intensity measurement.

The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction (2024)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the 2nd Clarity Prediction Challenge (CPC2) for predicting the intelligibility of hearing aid processed signals heard by individuals with a hearing impairment. The challenge was designed to promote new... Read More about The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction.

The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids (2024)
Presentation / Conference Contribution

This paper reports on the design and results of the 2024 ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids. The Cadenza project is working to enhance the audio quality of music for those with a hearing loss. The scenario for the c... Read More about The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids.

The Clarity & Cadenza Challenges (2024)
Presentation / Conference Contribution

Clarity (Speech in noise) and Cadenza (music) are two EPSRC projects that are exploiting the latest in machine learning to create improved listening experiences for those with a hearing loss. In both we are running a series of open competitions, for... Read More about The Clarity & Cadenza Challenges.

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss (2023)
Presentation / Conference Contribution

The Cadenza project aims to improve the audio quality of music for those who have a hearing loss. This is being done through a series of signal processing challenges, to foster better and more inclusive technologies. In the first round, two common li... Read More about The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss.

The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes (2023)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the 2nd Clarity Enhancement Challenge (CEC2), a challenge for stimulating novel approaches to hearing-aid speech intelligibility enhancement. The challenge was for a listener attending to a target spea... Read More about The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes.

Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids (2023)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids. The scenario was a listener attending to a target speaker in a noisy, domestic environment. There were multiple interferers and hea... Read More about Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids.

The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction (2022)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the 1st Clarity Prediction Challenge (CPC1) for predicting the intelligibility of hearing aid processed signals heard by individuals with a hearing impairment. The challenge was designed to promote the... Read More about The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction.

Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing (2021)
Presentation / Conference Contribution

In recent years, rapid advances in speech technology have been made possible by machine learning challenges such as CHiME, REVERB, Blizzard, and Hurricane. In the Clarity project, the machine learning approach is applied to the problem of hearing aid... Read More about Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing.

Clarity : machine learning challenges to revolutionise hearing device processing
Presentation / Conference Contribution

In the Clarity project, we will run a series of machine learning challenges to revolutionise speech processing for hearing devices. Over five years, there will be three paired challenges. Each pair will consist of a competition focussed on hearing-de... Read More about Clarity : machine learning challenges to revolutionise hearing device processing.