Search Results for author: Stefan Daniel Dumitrescu

Found 13 papers, 6 papers with code

NLP-Cube: End-to-End Raw Text Processing With Neural Networks

1 code implementation CONLL 2018 Tiberiu Boros, Stefan Daniel Dumitrescu, Rux Burtica, ra

We introduce NLP-Cube: an end-to-end Natural Language Processing framework, evaluated in CoNLL{'}s {``}Multilingual Parsing from Raw Text to Universal Dependencies 2018{''} Shared Task.

Lemmatization Sentence

Tools and resources for Romanian text-to-speech and speech-to-text applications

4 code implementations15 Feb 2018 Tiberiu Boros, Stefan Daniel Dumitrescu, Vasile Pais

In this paper we introduce a set of resources and tools aimed at providing support for natural language processing, text-to-speech synthesis and speech recognition for Romanian.

speech-recognition Speech Recognition +2

Fast and Accurate Decision Trees for Natural Language Processing Tasks

no code implementations RANLP 2017 Tiberiu Boros, Stefan Daniel Dumitrescu, Sonia Pipa

Decision trees have been previously employed in many machine-learning tasks such as part-of-speech tagging, lemmatization, morphological-attribute resolution, letter-to-sound conversion and statistical-parametric speech synthesis.

Attribute BIG-bench Machine Learning +6

RACAI's Natural Language Processing pipeline for Universal Dependencies

no code implementations CONLL 2017 Stefan Daniel Dumitrescu, Tiberiu Boros, Dan Tufis

This paper presents RACAI{'}s approach, experiments and results at CONLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.

Lemmatization Sentence

CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface

no code implementations EACL 2017 Tiberiu Boros, Stefan Daniel Dumitrescu, Sonia Pipa

Voice enabled human computer interfaces (HCI) that integrate automatic speech recognition, text-to-speech synthesis and natural language understanding have become a commodity, introduced by the immersion of smart phones and other gadgets in our daily lives.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus

no code implementations LREC 2014 Tiberiu Boro{\textcommabelow{s}}, Adriana Stan, Oliver Watts, Stefan Daniel Dumitrescu

This paper introduces a recent development of a Romanian Speech corpus to include prosodic annotations of the speech data in the form of ToBI labels.

Speech Synthesis Text-To-Speech Synthesis

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