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Visualizing punctuation restoration in speech transcripts with prosograph
dc.contributor.author | Oktem, A. |
dc.contributor.author | Farrús, M. |
dc.contributor.author | Bonafonte Cávez, Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2018-11-09T14:17:03Z |
dc.date.available | 2018-11-09T14:17:03Z |
dc.date.issued | 2018 |
dc.identifier.citation | Oktem, A., Farrús, M., Bonafonte, A. Visualizing punctuation restoration in speech transcripts with prosograph. A: Annual Conference of the International Speech Communication Association. "Interspeech 2018: 2-6 September 2018, Hyderabad". Baixas: International Speech Communication Association (ISCA), 2018, p. 1493-1494. |
dc.identifier.isbn | 1990-9772 |
dc.identifier.uri | http://hdl.handle.net/2117/123861 |
dc.description.abstract | We have developed a neural architecture that tests the effect of lexical, morphosyntactic and prosodic features in restoring punctuation in speech transcriptions. Having outperformed a baseline model in terms of precision and recall, we further extend our performance tests by attaching it in a speech recognition pipeline. The visual and interactive testing environment that we prepared helps us observe how our models generalizes in unseen data and also plan our next steps for improvement. |
dc.format.extent | 2 p. |
dc.language.iso | eng |
dc.publisher | International Speech Communication Association (ISCA) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic |
dc.subject.lcsh | Automatic speech recognition |
dc.subject.other | Automatic speech recognition |
dc.subject.other | Prosody |
dc.subject.other | Punctuation |
dc.subject.other | Speech communication |
dc.subject.other | Speech processing |
dc.subject.other | Speech transmission |
dc.subject.other | Transcription |
dc.subject.other | Automatic speech recognition |
dc.subject.other | Neural architectures |
dc.subject.other | Precision and recall |
dc.subject.other | Prosody |
dc.subject.other | Punctuation |
dc.subject.other | Speech transcriptions |
dc.subject.other | Speech transcripts |
dc.subject.other | Testing environment |
dc.subject.other | Speech recognition |
dc.title | Visualizing punctuation restoration in speech transcripts with prosograph |
dc.type | Conference report |
dc.subject.lemac | Reconeixement automàtic de la parla |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.identifier.doi | 10.21437/Interspeech.2018-3028 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.isca-speech.org/archive/Interspeech_2018/pdfs/3028.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 23470882 |
dc.description.version | Postprint (published version) |
local.citation.author | Oktem, A.; Farrús, M.; Bonafonte, A. |
local.citation.contributor | Annual Conference of the International Speech Communication Association |
local.citation.pubplace | Baixas |
local.citation.publicationName | Interspeech 2018: 2-6 September 2018, Hyderabad |
local.citation.startingPage | 1493 |
local.citation.endingPage | 1494 |