298 research outputs found
data
No full textThe datasets have also been published as Zhang, C., Jepson, K.M., Lohfink, G. & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. DANS EASY [Dataset]. doi: 10.17026/dans-zy5-392x
Comparing acoustic analyses of speech data collected remotely
No full textZhang, C., Jepson, K., Lohfink, G., & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. The Journal of the Acoustical Society of America, 149(6), 3910–3916. https://doi.org/10.1121/10.000513
Speech data collection at a distance: Comparing the reliability of acoustic cues across homemade recordings
No full textThis dataset contains the supporting data for the presentation at the 179th Meeting of the Acoustical Society of America:
Zhang, C., Jepson, K.M., Lohfink, G. & Arvaniti, A. (2020). Speech data collection at a distance: Comparing the reliability of acoustic cues across homemade recordings. The Journal of the Acoustical Society of America, 148 (4). doi: 10.1121/1.5147535
It is also related to the following article:
Zhang, C., Jepson, K.M., Lohfink, G. & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. The Journal of the Acoustical Society of America, 149 (6), 3910-3916. doi: 10.1121/10.0005132
Speech production data collection has been significantly impacted by COVID-19 restrictions. Sound-treated recording spaces and high-quality recording devices are inaccessible, and face-to-face interactions are limited. We investigated alternative recording methods that produce data suitable for phonetic analysis, and are accessible to people in their homes. We examined simultaneous recordings of pure tones at seven frequencies (50 Hz, every 100 Hz between 100 Hz and 600 Hz), and three repetitions of the primary cardinal vowels elicited from five trained speakers. Recordings were made using the ZOOM meeting application and non-lossy format smartphone applications (Awesome Voice Recorder, Recorder), comparing these with Zoom H6N reference recordings. F0, F1-4, and duration based on manual segmentation were measured
GRIN: GRadience in INtonation
No full textArvaniti, A., Zhang, C., Gryllia, S., Marcoux, K. (2022, May). GRIN: GRadience in INtonation. Speech Prosody 2022 Workshop, Lisbon, Portugal. https://www.sprintproject.io/grinworksho
Comparing acoustic analyses of speech data collected remotely
No full textZhang, C., Jepson, K., Lohfink, G., & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. The Journal of the Acoustical Society of America, 149(6), 3910–3916. https://doi.org/10.1121/10.000513
Intonation transcription and modelling in research and speech technology applications
No full textArvaniti, A., Jepson, K., Zhang, C., Marcoux, K. (2021, August). Intonation transcription and modelling in research and speech technology applications. Interspeech 2021, Brno, Czech Republic
data
No full textThe datasets have also been published as Zhang, C., Jepson, K.M., Lohfink, G. & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. DANS EASY [Dataset]. doi: 10.17026/dans-zy5-392x
data
No full textThe datasets have also been published as Zhang, C., Jepson, K.M., Lohfink, G. & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. DANS EASY [Dataset]. doi: 10.17026/dans-zy5-392x
Comparing acoustic analyses of speech data collected remotely
No full textZhang, C., Jepson, K., Lohfink, G., & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. The Journal of the Acoustical Society of America, 149(6), 3910–3916. https://doi.org/10.1121/10.000513
The 4th Phonetics and Phonology in Europe 2021
No full textJepson, K., Zhang, C., Lohfink, G., Marcoux, K., Arvaniti, A. (2021, June). H* and L+H* in English and Greek. The 4th Phonetics and Phonology in Europe, Barcelona, Spain
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