Outputs (66)

Practical implementation of automated next generation audio production for live sports (2024)
Journal Article
Moulson, A., Walley, M., Grewe, Y., Oldfield, R., Shirley, B., & Scuda, U. (2024). Practical implementation of automated next generation audio production for live sports. Journal of the Audio Engineering Society, 72(7/8), 517-525

Producing a high-quality audio mix for a live sports production is a demanding task for
mixing engineers. The management of many microphone signals and monitoring of various
broadcast feeds mean engineers are often stretched, overseeing many tasks... Read More about Practical implementation of automated next generation audio production for live sports.

Cloud-based AI for automatic audio production for personalized immersive XR experiences (2022)
Journal Article
Oldfield, R., Walley, M., Shirley, B., & Williams, D. (2022). Cloud-based AI for automatic audio production for personalized immersive XR experiences. SMPTE motion imaging journal, 131(7), 6-16. https://doi.org/10.5594/JMI.2022.3184849

In this article, we focus on the machine-learning approach developed for automatic audio source recognition and mixing for the U.K. Government Department of Culture Media and Sport (DCMS) funded collaborative project called 5G Edge-XR. Leveraging gra... Read More about Cloud-based AI for automatic audio production for personalized immersive XR experiences.

Speech-To-Screen raw data zip file (2022)
Data

Speech-To-Screen listening experiment - raw data
Zip file containing 100 x .mat files (Matlab)
See also separate ReadMe text file for further details

20 participants, 5 files each:
* 1 x practice session
* 4 x actual sessions: SMN_0; SMN_1; SS... Read More about Speech-To-Screen raw data zip file.

Read Me info for Speech-To-Screen raw data zip file (2022)
Data

.txt file with information relating to the S2S Raw Data zip file.


Note that:

INT: Speech internalised; Noise internalised.

SN: Speech internalised; Noise externalised (at screen).

NS: Speech externalised (at screen); Noise internalised.... Read More about Read Me info for Speech-To-Screen raw data zip file.

Speech-To-Screen collated correct word percentages (2022)
Data

.txt file containing results from the 'Speech-To-Screen listening experiment collated as correct word percentages.

20 x participants (s1-s20)
16 x combination of conditions tested per participant:
- 2 x masking noise types: SSN and SMN
- 2 x vi... Read More about Speech-To-Screen collated correct word percentages.

Loudness differences for Voice-over-Voice audio in TV and streaming (2020)
Journal Article

Voice-over-Voice (VoV) is a common mixing practice observed in news reports and docu- mentaries, where a foreground voice is mixed on top of a background voice, e.g., to translate an interview. This is achieved by ducking the background voice so that... Read More about Loudness differences for Voice-over-Voice audio in TV and streaming.

Intelligibility vs. comprehension : understanding quality of accessible next-generation audio broadcast (2020)
Journal Article

For traditional broadcasting formats, imple-mentation of accessible audio strategies for hard of hear-ing people have used a binary, intelligibility-based ap-proach. In this approach sounds are categorized eitheras speech, contributing to compreh... Read More about Intelligibility vs. comprehension : understanding quality of accessible next-generation audio broadcast.

Improving broadcast accessibility for hard of hearing individuals : using object-based audio personalisation and narrative importance (2020)
Thesis
Ward, L. Improving broadcast accessibility for hard of hearing individuals : using object-based audio personalisation and narrative importance. (Thesis). University of Salford

Technological advances in broadcasting can be the impetus for advances in accessibility services. For the 11 million individuals in the United Kingdom with some degree of hearing loss, the advent of object-based broadcasting and it’s personalisation... Read More about Improving broadcast accessibility for hard of hearing individuals : using object-based audio personalisation and narrative importance.

Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech (2019)
Journal Article
Torcoli, M., Freke-Morin, A., Paulus, J., Simon, C., & Shirley, B. (2019). Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech. Journal of the Audio Engineering Society, 67(12), 1003-1011. https://doi.org/10.17743/jaes.2019.0052

In audio production, background ducking facilitates speech intelligibility while allowing the background to fulfill its purpose, e.g., to create ambience, set the mood, or convey semantic cues. Technical details for recommended ducking practices are... Read More about Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech.

Personalization in object-based audio for accessibility : a review of advancements for hearing impaired listeners (2019)
Journal Article

Hearing loss is widespread and significantly impacts an individual’s ability to engage with broadcast media. Access can be improved through new object-based audio personalization methods. Utilizing the literature on hearing loss and intelligibility t... Read More about Personalization in object-based audio for accessibility : a review of advancements for hearing impaired listeners.