In addition to doing research, our researchers spend time communicating their work at conferences, in conference proceedings and in scientific journals. We thought we would give you an overview of the Eriksholm journal publications from the last six months to keep you up-to-date.
Several of our researchers have published papers this year not originated at Eriksholm, which are not mentioned in this article. But you can see them and the whole archive of posters, presentations and papers here.
BAHS users spend less effort when maximum forced output is higher
The paper shows that people with a bone anchored hearing system (BAHS) spend significantly less resources – less effort – on recognizing speech when using a sound processor with a higher maximum forced output (MFO). The MFO is the maximum output that the BAHS amplifier can produce.
The findings suggest that sound processors with higher MFO could help BAHS users in their everyday life. It improves sound quality and makes it less effortful to understand what is being said at a party, a restaurant, or another noisy environment.
The study was published in Ear and Hearing in February and can be found here.
Title: “Benefit of Higher Maximum Force Output on Listening Effort in Bone-Anchored Hearing System Users”
Authors: Bianchi F, Wendt D, Wassard C, Maas P, Lunner T, Rosenbom T, Holmberg M
Methods of identifying listening attention brought together for the first time
This popular paper had 1,000 reads in only one months, and currently it has almost 3,000.
Based on brain signals, it is possible to identify who a person is listening to in multi-speaker scenarios. To find the correlation between the brain signals and the audio, different mathematical models can be used, and for the first time, these have been brought together in this paper providing an overview of the methods.
The paper was published Frontiers in Neuroscience in March and can be found here.
Title: ”A Tutorial on Auditory Attention Identification Methods”
Authors: Alickovic E, Lunner T, Gustafsson F, Ljung L
Speech rate seems to influence listening effort
This study investigates listening effort. The results demonstrates that linguistic complexity does not seem to affect neural tracking and listening effort measured with pupil dilations. Speech rate showed a strong influence on subjectively rated effort, pupil dilations, and neural tracking of speech.
The study, published in Frontiers in Psychology in March, can be found here.
Title: “Effect of Speech Rate on Neural Tracking of Speech”
Authors: Müller J, Wendt D, Kollmeier B, Debener S, Brand T
The competing voices test illustrates how people navigate when several people speak
This paper tells about the ‘competing voices test’ we used when testing our speech segregation algorithm. It shows that the method successfully illustrates how people do in situations where people speak at the same time or in situations where you wish to listen to more than one person simultaneously like at a dinner party.
The researchers used the Danish Hearing in Noise Test (HINT) with five additional speakers to illustrate how normal hearing people are good at navigating in these kind of situations, while people with a hearing impairment struggle.
This paper was published in Trends in Hearing in May and is available here.
Title: ”A Competing Voices Test for Hearing-Impaired Listeners Applied to Spatial Separation and Ideal Time-Frequency Masks”
Authors: Bramsløw L, Vatti M, Rossing R, Naithani G, Pontoppidan NH
Modifying the scale illusion
In this study nineteen listeners had to detect one deviation within a repeating melody stream, while presented with a randomized distractor stream. Every second note in each stream was presented to the opposite ear. Even though the participants did well in this task, they tended to focus on one side of the brain when interaural delay or timbre-difference was added.
This modification of the scale illusion was published in The Journal of the Acoustical Society of America in June and is available using this link.
Title: ”A modification of the scale illusion into a detection task for assessment of binaural streaming”
Authors: Janssen N, Marozeau J, Bramsløw L, Riis S