| Title |
Chronset: An automated tool for detecting speech onset
|
|---|---|
| Published in |
Behavior Research Methods, December 2016
|
| DOI | 10.3758/s13428-016-0830-1 |
| Pubmed ID | |
| Authors |
Frédéric Roux, Blair C. Armstrong, Manuel Carreiras |
| Abstract |
The analysis of speech onset times has a longstanding tradition in experimental psychology as a measure of how a stimulus influences a spoken response. Yet the lack of accurate automatic methods to measure such effects forces researchers to rely on time-intensive manual or semiautomatic techniques. Here we present Chronset, a fully automated tool that estimates speech onset on the basis of multiple acoustic features extracted via multitaper spectral analysis. Using statistical optimization techniques, we show that the present approach generalizes across different languages and speaker populations, and that it extracts speech onset latencies that agree closely with those from human observations. Finally, we show how the present approach can be integrated with previous work (Jansen & Watter Behavior Research Methods, 40:744-751, 2008) to further improve the precision of onset detection. Chronset is publicly available online at www.bcbl.eu/databases/chronset . |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 11% |
| Denmark | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 103 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 29% |
| Researcher | 17 | 16% |
| Student > Master | 14 | 13% |
| Student > Doctoral Student | 8 | 7% |
| Professor | 7 | 6% |
| Other | 18 | 17% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 35 | 32% |
| Linguistics | 22 | 20% |
| Neuroscience | 15 | 14% |
| Social Sciences | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 22 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2017.
All research outputs
#6,572,065
of 25,374,917 outputs
Outputs from Behavior Research Methods
#806
of 2,525 outputs
Outputs of similar age
#108,770
of 420,280 outputs
Outputs of similar age from Behavior Research Methods
#4
of 28 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 68% of its peers.
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We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.