Broadcast news subtitling system in Portuguese

Neto, João Paulo; Meinedo, Hugo; Viveiros, Márcio; Cassaca, Renato; Martins, Ciro; Caseiro, Diamantino

doi:10.1109/icassp.2008.4517921

Cited by 48 publications

(29 citation statements)

References 7 publications

(6 reference statements)

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“…A tarefa de classificação multiclasse permitir-nos-á, num futuro próximo, incluir os marcadores discursivos nas transcrições automáticas do reconhecer de fala (Neto et al, 2008). A identificação de marcas de pontuação (Batista, 2011;Batista et al, 2012;Moniz, 2013) e de disfluências (e.g., pausas preenchidas lexicalizadas, como "aam" e/ou "mm", apagamentos, substituições, entre outros 1 ) nas transcrições já permitiu uma melhoria significativa do output do sistema, o que resultou numa diminuição da taxa de erro de reconhecimento (Moniz et al, 2014b).…”

Section: Introductionunclassified

Classificação prosódica de marcadores discursivos

Cabarrão¹,

Moniz²,

Ferreira³

et al. 2016

rapl

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This work describes the discourse markers present in two corpora for European Portuguese, in different domains (university lectures and map-task dialogues). In this study, we also perform a multiclass automatic classification task based on prosodic features to verify in both corpora which words are discourse markers, which are disfluencies, and which are sentence like-units (SUs). Results show that the selection of discourse markers varies across domain and between speakers. As for the classification task, results show that the discourse markers are better classified in the lectures corpus (87%) than in the dialogue corpus (84%). However, cross-domain experiments evidenced that data trained with the dialogue corpus predicts better the events in the lecture corpus, since this domain displays more speakers and therefore complex patterns. In both corpora, markers are more easily classified as SUs than as disfluencies.

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Section: Introductionunclassified

Classificação prosódica de marcadores discursivos

Cabarrão¹,

Moniz²,

Ferreira³

et al. 2016

rapl

View full text Add to dashboard Cite

show abstract

“…Since this framework was developed for English, porting it to European Portuguese required some changes. PocketSphinx was replaced by Audimus [10], our in-house ASR module, based on hybrid models. A version for SAPI of DIXI [11], a concatenative unit selection synthesizer based on the Festival model was used.…”

Section: Introductionmentioning

confidence: 99%

Towards choosing better primes for spoken dialog systems

Lopes

Eskénazi

Trancoso

2011

2011 IEEE Workshop on Automatic Speech Recognition &Amp; Understanding

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Abstract-When humans and computers use the same terms (primes, when they entrain to one another), spoken dialogs proceed more smoothly. The goal of this paper is to describe initial steps we have found that will enable us to eventually automatically choose better primes in spoken dialog system prompts. Two different sets of prompts were used to understand what makes one prime more suitable than another. The impact of the primes chosen in speech recognition was evaluated. In addition, results reveal that users did adopt the new vocabulary introduced in the new system prompts. As a result of this, performance of the system improved, providing clues for the trade off needed when choosing between adequate primes in prompts and speech recognition performance.

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“…The integration of ASR technologies into multimedia repositories is a well-known problem which has been previously and successfully explored, especially in the case of news broadcasting [9], [10] and TV content in general [11], although most of these systems are mainly designed to provide subtitles in real-time. Other ASR applications can be found in the subtitling of Parliament sessions [12] where, in some cases, manual transcripts are synchronized with the input audio signal in order to generate the corresponding subtitles [13]; also in video indexing [14].…”

Section: Related Workmentioning

confidence: 99%

A System Architecture to Support Cost-Effective Transcription and Translation of Large Video Lecture Repositories

Silvestre-Cerdà¹,

Pérez-González-de-Martos²,

Jiménez³

et al. 2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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Abstract-Online video lecture repositories are rapidly growing and becoming established as fundamental knowledge assets. However, most lectures are neither transcribed nor translated because of the lack of cost-effective solutions that can give accurate enough results. In this paper, we describe a system architecture that supports the cost-effective transcription and translation of large video lecture repositories. This architecture has been adopted in the EU project transLectures and is now being tested on a repository of more than 9000 video lectures at the Universitat Politècnica de València. Following a brief description of this repository and of the transLectures project, we describe the proposed system architecture in detail. We also report empirical results on the quality of the transcriptions and translations currently being maintained and steadily improved.

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Broadcast news subtitling system in Portuguese

Cited by 48 publications

References 7 publications

Classificação prosódica de marcadores discursivos

Classificação prosódica de marcadores discursivos

Towards choosing better primes for spoken dialog systems

A System Architecture to Support Cost-Effective Transcription and Translation of Large Video Lecture Repositories

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