Speaker Recognition
Mostrando 13-24 de 27 artigos, teses e dissertações.
-
13. O comportamento lingüistico na comunidade bilíngüe ítalo-brasileira de Nova Pádua/RS : identidade, prestígio e estigma lingüísticos
This reasearch was developed in an Italo-Brazilian linguistics community of Nova Pádua, located in the northeast of Rio grande do Sul, which was founded in 1885 by Italian imigrants. This etnolinguisitcs group lives with a situation of bilinguism and languages in contact with each other. The aim of our work was to investigate the linguistics attitudes of th
Publicado em: 2005
-
14. Reconhecimento automático do locutor com redes neurais pulsadas. / Automatic speaker recognition using pulse coupled neural networks.
As Redes Neurais Pulsadas são objeto de intensa pesquisa na atualidade. Neste trabalho é avaliado o potencial de aplicação deste paradigma neural, na tarefa de reconhecimento automático do locutor. Após uma revisão dos tópicos considerados importantes para o entendimento do reconhecimento automático do locutor e das redes neurais artificiais, é rea
Publicado em: 2004
-
15. Reconhecimento automático de locutor em modo independente de texto por Self-Organizing Maps. / Text independent automatic speaker recognition using Self-Organizing Maps.
Projetar máquinas capazes identificar pessoas é um problema cuja solução encontra uma grande quantidade de aplicações. Implementações em software de sistemas baseados em medições de características físicas pessoais (biométricos), estão começando a ser produzidos em escala comercial. Nesta categoria estão os sistemas de Reconhecimento Automát
Publicado em: 2002
-
16. Sistemas de adaptação ao locutor utilizando autovozes. / Speaker adaptation system using eigenvoices.
This present work describe two speaker adaptation technique, using a small amount of adaptation data, for a speech recognition system. These techniques are Maximum Likelihood Linear Regression (MLLR) and Eigenvoices. Both re-estimates the mean of a continuous density Hidden Markov Model system. MLLR technique estimates a set of linear transformations for mea
Publicado em: 2001
-
17. Modelos da lingua para o portugues do Brasil aplicados ao reconhecimento de fala continua : modelos lineares e modelos hierarquicos (Parsing)
: Continuous speech recognition based only on acoustic information does not provide good results [Lippmann97]. Language Models can be used to characterize, capture and exploit the language regularities, improving the recognition system performance. This Thesis presents the study and implementation of Language Models for Brazilian Portuguese. Two word class b
Publicado em: 1999
-
18. Avaliação de diferentes tecnicas para reconhecimento da fala
This work presents an evaluation of speaker independent isolated word recognizers using Hidden Markov Models (Discrete, Continuous and Semicontinuous), Artificial Neural Networks (Multilayer Perceptron) and Hybrid Systems. All the recognizers were evaluated considering the same database. The goal of these comparisons is to identify the advantages and disadva
Publicado em: 1997
-
19. Reconhecimento automatico de palavras isoladas : estudo e aplicação dos metodos deterministico e estocastico
In this work, the most commonly used techniques employed in speech recognition for isolated words were studied and implemented. Initially the parametrization and acoustic pattern recognition methods were discussed. In the discussion, we not only maintained the mathematical formalism as suggested in the literature but also sought the easy way for the practica
Publicado em: 1993
-
20. Toward the ultimate synthesis/recognition system.
This paper predicts speech synthesis, speech recognition, and speaker recognition technology for the year 2001, and it describes the most important research problems to be solved in order to arrive at these ultimate synthesis and recognition systems. The problems for speech synthesis include natural and intelligible voice production, prosody control based on
-
21. State of the art in continuous speech recognition.
In the past decade, tremendous advances in the state of the art of automatic speech recognition by machine have taken place. A reduction in the word error rate by more than a factor of 5 and an increase in recognition speeds by several orders of magnitude (brought about by a combination of faster recognition search algorithms and more powerful computers), ha
-
22. Speech recognition with amplitude and frequency modulations
Amplitude modulation (AM) and frequency modulation (FM) are commonly used in communication, but their relative contributions to speech recognition have not been fully explored. To bridge this gap, we derived slowly varying AM and FM from speech sounds and conducted listening tests using stimuli with different modulations in normal-hearing and cochlear-implan
National Academy of Sciences.
-
23. Commercial applications of speech interface technology: an industry at the threshold.
Speech interface technology, which includes automatic speech recognition, synthetic speech, and natural language processing, is beginning to have a significant impact on business and personal computer use. Today, powerful and inexpensive microprocessors and improved algorithms are driving commercial applications in computer command, consumer, data entry, spe
-
24. The role of voice input for human-machine communication.
Optimism is growing that the near future will witness rapid growth in human-computer interaction using voice. System prototypes have recently been built that demonstrate speaker-independent real-time speech recognition, and understanding of naturally spoken utterances with vocabularies of 1000 to 2000 words, and larger. Already, computer manufacturers are bu