JOHN P BUNCE
Biographic Data
| ID | 9285595 |
|---|---|
| NAME | JOHN P BUNCE |
| GIVEN NAMES | JOHN P |
| FAMILY NAME | BUNCE |
| SIGNATURE | BUNCE J P |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
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…
A thorough evaluation of the Language Environment Analysis (Lenatm) system
In the previous decade, dozens of studies involving thousands of children across several research disciplines have made use of a combined daylong audio-recorder and automated algorithmic analysis called the LENA^®^ system, which aims to assess children's language environment. While the system's prevalence in the language acquisition domain is steadily growing, there are only scattered validation efforts, on only some of its key characteristics. H…
Finding meaning in a noisy world
While recent studies suggest children can use cross-situational information to learn words, these studies involved minimal referential ambiguity, and the cross-situational evidence overwhelmingly favored a single referent for each word. Here we asked whether 2·5-year-olds could identify a noun's referent when the scene and cross-situational evidence were more ambiguous. Children saw four trials in which a novel word occurred with four novel objec…
No prominent works on this page.
Finding meaning in a noisy world
While recent studies suggest children can use cross-situational information to learn words, these studies involved minimal referential ambiguity, and the cross-situational evidence overwhelmingly favored a single referent for each word. Here we asked whether 2·5-year-olds could identify a noun's referent when the scene and cross-situational evidence were more ambiguous. Children saw four trials in which a novel word occurred with four novel objec…
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…
A thorough evaluation of the Language Environment Analysis (Lenatm) system
In the previous decade, dozens of studies involving thousands of children across several research disciplines have made use of a combined daylong audio-recorder and automated algorithmic analysis called the LENA^®^ system, which aims to assess children's language environment. While the system's prevalence in the language acquisition domain is steadily growing, there are only scattered validation efforts, on only some of its key characteristics. H…
Artificial Intelligence (2 works) · Computer Science (2 works) · Language Development and Disorders (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Psychology (2 works) · Speech and dialogue systems (2 works) · Speech Recognition and Synthesis (2 works) · Ambiguity (1 work) · Annotation (1 work)