Florian Metze
Biographic Data
| ID | 8759874 |
|---|---|
| NAME | Florian Metze |
| GIVEN NAMES | Florian |
| FAMILY NAME | Metze |
| SIGNATURE | METZE F |
| AFFILIATIONS | Carnegie Mellon University |
| ORCID | 0000-0002-6663-8600 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Modeling early phonetic acquisition from child-centered audio data
Modeling early phonetic acquisition from child-centered audio data
Infants learn their native language(s) at an amazing speed. Before they even talk, their perception adapts to the language(s) they hear. However, the mechanisms responsible for this perceptual attunement and the circumstances in which it takes place remain unclear. This paper presents the first attempt to study perceptual attunement using ecological child-centered audio data. We show that a simple prediction algorithm exhibits perceptual attuneme…
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
Automatic word count estimation (WCE) from audio recordings can be used to quantify the amount of verbal communication in a recording environment. One key application of WCE is to measure language input heard by infants and toddlers in their natural environments, as captured by daylong recordings from microphones worn by the infants. Although WCE is nearly trivial for high-quality signals in high-resource languages, daylong recordings are substan…
No prominent works on this page.
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
Automatic word count estimation (WCE) from audio recordings can be used to quantify the amount of verbal communication in a recording environment. One key application of WCE is to measure language input heard by infants and toddlers in their natural environments, as captured by daylong recordings from microphones worn by the infants. Although WCE is nearly trivial for high-quality signals in high-resource languages, daylong recordings are substan…
Modeling early phonetic acquisition from child-centered audio data
Infants learn their native language(s) at an amazing speed. Before they even talk, their perception adapts to the language(s) they hear. However, the mechanisms responsible for this perceptual attunement and the circumstances in which it takes place remain unclear. This paper presents the first attempt to study perceptual attunement using ecological child-centered audio data. We show that a simple prediction algorithm exhibits perceptual attuneme…
Modeling early phonetic acquisition from child-centered audio data
Computer Science (3 works) · Speech and Audio Processing (3 works) · Speech recognition (3 works) · Artificial Intelligence (2 works) · Attunement (2 works) · Cognitive psychology (2 works) · Language acquisition (2 works) · Language Development and Disorders (2 works) · Perception (2 works) · Phonetics and Phonology Research (2 works)