On the Use of Machine Learning and Syllable Information in European Portuguese Grapheme-Phone Conversion

Teixeira, António; Oliveira, Catarina; Moutinho, Lurdes de Castro

doi:10.1007/11751984_24

Cited by 8 publications

(7 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It can be noted that UFPAdic version 1.0 is the smallest among them, but its size is comparable to the dictionaries used in other recent studies (e.g., [16]). …”

Section: A the Ufpadic Dictionarymentioning

confidence: 79%

See 1 more Smart Citation

New resources for Brazilian Portuguese: Results for grapheme-to-phoneme and phone classification

Hosn

Baptista

Imbiriba

et al. 2006

2006 International Telecommunications Symposium

View full text Add to dashboard Cite

Speech processing is a data-driven technology that relies on public corpora and associated resources. In contrast to languages such as English, there are few resources for Brazilian Portuguese (BP). Consequently, there are no publicly available scripts to design baseline BP systems. This work discusses some efforts towards decreasing this gap and presents results for two speech processing tasks for BP: phone classification and grapheme to phoneme (G2P) conversion. The former task used hidden Markov models to classify phones from the Spoltech and TIMIT corpora. The G2P module adopted machine learning methods such as decision trees and was tested on a new BP pronunciation dictionary and the following languages: British English, American English and French.

show abstract

“…It can be noted that UFPAdic version 1.0 is the smallest among them, but its size is comparable to the dictionaries used in other recent studies (e.g., [16]). …”

Section: A the Ufpadic Dictionarymentioning

confidence: 79%

“…More recently, rule-based, data-driven and hybrid approaches have been implemented as finite state transducers [15]. Of importance is the transformation-based learning (TBL) discussed in [16]. Some studies have attempted to use learning algorithms to incorporate pronunciation by analogy [17], [18].…”

Section: Introductionmentioning

confidence: 99%

New resources for Brazilian Portuguese: Results for grapheme-to-phoneme and phone classification

Hosn

Baptista

Imbiriba

et al. 2006

2006 International Telecommunications Symposium

View full text Add to dashboard Cite

show abstract

“…In fact, a dictionary can be constructed by invoking a preexistent G2P module. However, the task of designing a G2P module is not trivial, and several techniques have been adopted over the last decade [40,41].…”

Section: Ufpadic: a Phonetic Dictionary For Bpmentioning

confidence: 99%

Free tools and resources for Brazilian Portuguese speech recognition

et al. 2010

View full text Add to dashboard Cite

An automatic speech recognition system has modules that depend on the language and, while there are many public resources for some languages (e.g., English and Japanese), the resources for Brazilian Portuguese (BP) are still limited. This work describes the development of resources and free tools for BP speech recognition, consisting of text and audio corpora, phonetic dictionary, graphemeto-phone converter, language and acoustic models. All of them are publicly available and, together with a proposed application programming interface, have been used for the development of several new applications, including a speech module for the OpenOffice suite. Performance tests are presented, comparing the developed BP system with a commercial software. The paper also describes an application that uses synthesis and speech recognition together with a natural language processing module dedicated to statistical machine translation. This application allows the translation of spoken conversations from BP to English and vice versa. The resources make easier the adoption of BP speech technologies by other academic groups and industry.

show abstract

“…In fact, a dictionary can be constructed by invoking a pre-existent G2P module. The task of designing a G2P module is difficult to perform and several techniques have been adopted over the last decade [6,46].…”

Section: The Challenge Of Developing Speech-enabled Educational Softwmentioning

confidence: 99%

VOICECONET: A Collaborative Framework for Speech-Based Computer Accessibility with a Case Study for Brazilian Portuguese

Neto¹,

Batista²,

Klautau³

2012

Modern Speech Recognition Approaches With Case Studies

View full text Add to dashboard Cite

On the Use of Machine Learning and Syllable Information in European Portuguese Grapheme-Phone Conversion

Cited by 8 publications

References 4 publications

New resources for Brazilian Portuguese: Results for grapheme-to-phoneme and phone classification

New resources for Brazilian Portuguese: Results for grapheme-to-phoneme and phone classification

Free tools and resources for Brazilian Portuguese speech recognition

VOICECONET: A Collaborative Framework for Speech-Based Computer Accessibility with a Case Study for Brazilian Portuguese

Contact Info

Product

Resources

About