SpiN2022 – 13th Speech in Noise Workshop – Virtual Conference

Hi everyone, we’re happy to announce that the 13th Speech in Noise Workshop will virtually place on 20-21 January!

Talks will be shared as Zoom webinars, and poster sessions will take place in GatherTown.

You can reach out to information about the SPIN workshop, previous editions, organisation committee, and contact email below.

About the SPIN workshop

The SpiN workshop is organized every year by a European research group within the speech and hearing community, and consists of two days of talks by invited speakers (PhD students, postdocs, and principal investigators, as well as a keynote lecture) and contributed poster presentations. The aim of the meeting is to bring together young investigators and senior faculty from several European hearing-research groups to stimulate networking, discussion of research topics, and scientific collaboration in the field of speech and hearing research.

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Why a workshop on speech in noise?

Speech is probably the most used method of communication. It is fast, robust, open to interaction and can be used in highly adverse conditions. Besides the content of the message, it contains additional information, such as the emotional state, size and sex of the speaker. But occasionally speech information is not transmitted properly due to interference by one or more other sources typically labelled as “noise”.

Technological progress demands a better understanding of the processes involved in the perception of speech in noise. For example, mobile telecommunications makes people communicate under far noisier conditions than the traditional landline. Contemporary hearing aids with wireless technologies allow the implementation of numerous digital signal processing strategies, creating novel opportunities to improve the speech perception for hearing-impaired listeners. A better understanding of the perception of speech in noise also appears imperative to the further development of cochlear implants. And notwithstanding progress in the field of automatic speech recognition, robustness to noise remains a challenge.

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Preliminary programme

Keynote Lecture:

Carolyn McGettigan, VoCoLab, University College London, United-Kingdom
“Perceiving and representing voice identity: effects of talker variability and listener familiarity”

Confirmed speakers are:

Hans Rutger Bosker
Max Planck Institute for Psycholinguistics, Nijmegen, NL
Ignoring people at a cocktail party: testing which acoustic characteristics of ignored speech influence attended speech perception
Samuel El Bouzaïdi Tiali
Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, Grenoble, FR
Homophone processing during speech-in-speech situation and cognitive control implication
Janina Fels
Institute for Hearing Technology and Acoustics, RWTH Aachen University, DE
Challenges and methods to design a child-appropriate speech-in-noise experiment in spatial auditory environments for young children
Sébastien Ferreira
Authôt, Ivry, FR
Prediction of the ASR quality by analysis of the sound environment
Anna Fiveash
Lyon Neuroscience Research Centre, CNRS UMR5292, Inserm U1028, UCBL, UJM, Lyon, FR
Regular rhythmic primes do not benefit speech-in-noise perception: Evidence for distinct outcomes for temporal attention to speech-in-noise
Inga Holube
Institute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, DE
Text-to-speech and back — new ways in speech audiometry
Ulrich Hoppe
Department of Audiology, ENT-clinic, University of Erlangen-Nürnberg, DE
Speech Recognition in Quiet and in Noise in a large group of Bimodal (CI + HA) Listeners
Hae-Sung Jeon
UCLan, Preston, UK
Perception of dynamic pitch in speech
Bethany Plain
Amsterdam UMC, NL | Eriksholm Research Centre, Snekkersten, DK
The impact of social observation during a speech-in-noise task: insights from the heart and pupils of hearing impaired listeners
Emmanuel Ponsot
University of Ghent, BE
Impact of cochlear synaptopathy on speech-in-noise perception: Psychophysical and electrophysiological markers based on temporal fine structure coding fidelity
Cas Smits
Amsterdam UMC, Dept. of Otolaryngology – Head and Neck Surgery, Amsterdam, NL
A method to convert between Speech Recognition Thresholds (SRT) and percentage-correct scores for speech-in-noise tests