Show simple item record
Please use the following text to cite this item or export to a predefined format:
bibtexcmdi
Srivastava, Manu; Coro, Gianpaolo; Ferro, Marcello and Pirrelli, Vito, 2025, Automatic Speech Recognition and Token boundary detection for Italian Speech, ILC-CNR for CLARIN-IT repository hosted at Institute for Computational Linguistics "A. Zampolli", http://hdl.handle.net/20.500.11752/ILC-1039
Share
dc.contributor.authorSrivastava, Manu
dc.contributor.authorCoro, Gianpaolo
dc.contributor.authorFerro, Marcello
dc.contributor.authorPirrelli, Vito
dc.date.accessioned2025-05-13T14:37:00Z
dc.date.available2025-05-13T14:37:00Z
dc.date.issued2025
dc.descriptionOpen Source code for the implementation of an Automatic Speech Recognition system for Italian speech. Can perform automated transcription as well as Speech-text alignment.
dc.identifier.urihttp://hdl.handle.net/20.500.11752/ILC-1039
dc.publisherIstituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
dc.rightsCreative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.labelPUB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectASR
dc.subjectSpeech Processing
dc.subjectCode
dc.titleAutomatic Speech Recognition and Token boundary detection for Italian Speech
dc.typetoolService
local.brandingILC
local.contact.personManu Srivastava manu.srivastava@ilc.cnr.it Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
local.contact.personMarcello Ferro marcello.ferro@ilc.cnr.it Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
local.files.count1
local.files.size11437
local.has.filesyes
local.sponsoreuFunds CUP B63C22000730005 - IR0000029 PNRR EU H2IOSC
metashare.ResourceInfo#ContentInfo.detailedTypetool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependentfalse

Collections

ILC4CLARIN : ILC Data & Tools
This item isPublicly Available
and licensed under:
 Files in this item
  Download instructions for command line
Name
ASR_it_pipeline.zip
Size
11.17 KB
Format
application/zip
Description
Zip
MD5
b241afe6d151a88acae65b42f0a70485
Preview
  Download file
  File Preview
Show simple item record