Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used in the PLoS ONE paper: Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (2017). Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit. PLoS ONE 12(4):e0174623 <doi:10.1371/journal.pone.0174623> More details can be found in the paper and the supplement. 'ndl' is available on CRAN. 'ndl2' is available by request from <konstantin.sering@uni-tuebingen.de>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.0.0) |
| Imports: | tuneR, zoo, seewave, parallel |
| Published: | 2018-07-06 |
| Author: | Denis Arnold [aut, dtc, cre], Elnaz Shafaei Bajestan [ctb] |
| Maintainer: | Denis Arnold <arnold at ids-mannheim.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | AcousticNDLCodeR results |
| Reference manual: | AcousticNDLCodeR.pdf |
| Package source: | AcousticNDLCodeR_1.0.2.tar.gz |
| Windows binaries: | r-devel: AcousticNDLCodeR_1.0.2.zip, r-release: AcousticNDLCodeR_1.0.2.zip, r-oldrel: AcousticNDLCodeR_1.0.2.zip |
| macOS binaries: | r-release: AcousticNDLCodeR_1.0.2.tgz, r-oldrel: AcousticNDLCodeR_1.0.2.tgz |
| Old sources: | AcousticNDLCodeR archive |
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