Shreyas Seshadri
Biographic Data
| ID | 8759871 |
|---|---|
| NAME | Shreyas Seshadri |
| GIVEN NAMES | Shreyas |
| FAMILY NAME | Seshadri |
| SIGNATURE | SESHADRI S |
| AFFILIATIONS | Aalto University |
| ORCID | 0000-0003-1731-3129 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Alice
Recordings captured by wearable microphones are a standard method for investigating young children’s language environments. A key measure to quantify from such data is the amount of speech present in children’s home environments. To this end, the LENA recorder and software—a popular system for measuring linguistic input—estimates the number of adult words that children may hear over the course of a recording. However, word count estimation is cha…
Alice
Recordings captured by wearable microphones are a standard method for investigating young children's language environments. A key measure to quantify from such data is the amount of speech present in children's home environments. To this end, the LENA recorder and software-a popular system for measuring linguistic input-estimates the number of adult words that children may hear over the course of a recording. However, word count estimation is cha…
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…
Alice
Recordings captured by wearable microphones are a standard method for investigating young children’s language environments. A key measure to quantify from such data is the amount of speech present in children’s home environments. To this end, the LENA recorder and software—a popular system for measuring linguistic input—estimates the number of adult words that children may hear over the course of a recording. However, word count estimation is cha…
Alice
Recordings captured by wearable microphones are a standard method for investigating young children's language environments. A key measure to quantify from such data is the amount of speech present in children's home environments. To this end, the LENA recorder and software-a popular system for measuring linguistic input-estimates the number of adult words that children may hear over the course of a recording. However, word count estimation is cha…
Computer Science (3 works) · Linguistics (3 works) · Speech recognition (3 works) · Syllable (3 works) · Artificial Intelligence (2 works) · Mathematics (2 works) · Natural language processing (2 works) · Speech and Audio Processing (2 works) · Speech Recognition and Synthesis (2 works) · Communication (1 work)