Results 111 to 120 of about 1,179 (120)

Training listeners for multi-channel audio quality evaluation in MUSHRA with a special focus on loop setting

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX), 2016
Audio quality evaluation for audio material of intermediate and high quality requires expert listeners. In comparison to non-experts, these are not only more critical in their ratings, but also employ different strategies in their evaluation. In particular they concentrate on shorter sections of the audio signal and compare more to the reference than ...
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A system for subjective evaluation of audio, video and audiovisual quality using MUSHRA and SAMVIQ methods

2012 Fourth International Workshop on Quality of Multimedia Experience, 2012
This paper presents a system for the subjective evaluation of audio, video and audiovisual quality. The system combines the well known MUSHRA and SAMVIQ methods for evaluation of audio and video quality. The implementation of the system uses inexpensive commercial of the shelf hardware.
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Comparaison entre PESQ et MUSHRA pour l’estimation de la qualité audio d’un signal de parole enregistré par des microphones « non-conventionnels »

2022
Lorsque l'on parle, on génère non seulement du signal aérien, mais aussi des vibrations qui se propagent dans les différents éléments constituant notre tête. Ces vibrations contiennent l’information du signal de parole et peuvent être enregistrées. On appelle microphones « non conventionnels » tous les capteurs permettant d’enregistrer ces signaux se ...
Zimpfer, Véronique, Joubaud, Thomas, Richard, Julien, Hamery, Pascal   +3 more
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Potential biases in MUSHRA listening tests

2007
The method described in the ITU-R BS.1534-1 standard, commonly known as MUSHRA (MUltiple Stimulus with Hidden Reference and Anchors), is widely used for the evaluation of systems exhibiting intermediate quality levels, in particular low-bit rate codecs. This paper demonstrates that this method, despite its popularity, is not immune to biases.
Zielinski, S, Hardisty, P, Hummersone, C, Rumsey, F   +3 more
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Finding the Human Voice in AI: Insights on the Perception of AI-Voice Clones from MUSHRA and Similarity Tests

Artificial intelligence (AI)-powered voice clones are increasingly utilized in educational and clinical applications, providing valuable tools for platforms such as IELTS, Duolingo, audiobooks, and assistive technologies like ESTA and Socially Assistive Robots.
Linda Bakkouche, Stephanie Cooper, Xinbing Luo, Madeleine Rees, Emily Lau, Charles McGhee, Kai Alter, Brechtje Post, Julia Schwarz   +8 more
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Taut-MUSHRA: A MUSHRA-based method without hidden reference and anchors for relative sound quality evaluation

Acoustical Science and Technology
Fumiyoshi Matano, Yuya Tagusari, Takanori Horibe, Junya Koguchi, Masanori Morise   +4 more
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Assessment of sound quality perception in native Turkish-speaking adult cochlear implant users using TR-MUSHRA

2019
Busra Kose, Akbulut, Alperen, Ayşenur Karaman, Derinsu, Ufuk, Ayca Ciprut   +4 more
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Statistical tests with MUSHRA data

2020
Mendonça Catarina, Delikaris-Manias Symeon   +1 more
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Statistical tests with MUSHRA data

2018
Delikaris-Manias, Symeon, Mendonça, Catarina   +2 more
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River Mushra—”Field of Zoan “—Strange Creatures—A Lost Needle— “ Fire in Zoan”—Qualms—Flamingoes—Rigs—a Yarn—Lubbers—By moonlight—Port Said—Parting Shot—Squall.

2019
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