## Abstract

Kaldi has become a very popular toolkit for automatic speech recognition, showing considerable improvements through the combination of hidden Markov models (HMM) and deep neural networks (DNN). However, in spite of its great performance for some languages (e.g. English, Italian, Serbian, etc.), the resources for Brazilian Portuguese (BP) are still quite limited. This work describes what appears to be the first attempt to create Kaldi-based scripts and baseline acoustic models for BP using Kaldi tools. Experiments were carried out for dictation tasks and a comparison to CMU Sphinx toolkit in terms of word error rate (WER) was performed. Results seem promising, since Kaldi achieved the absolute lowest WER of 4.75% with HMM-DNN and outperformed CMU Sphinx even when using Gaussian mixture models only.

## BibTeX Citation

@inproceedings{Batista18b,
abstract  = {Kaldi has become a very popular toolkit for automatic speech recognition, showing considerable improvements through the combination of hidden Markov models (HMM) and deep neural networks (DNN). However, in spite of its great performance for some languages (e.g. English, Italian, Serbian, etc.), the resources for Brazilian Portuguese (BP) are still quite limited. This work describes what appears to be the first attempt to create Kaldi-based scripts and baseline acoustic models for BP using Kaldi tools. Experiments were carried out for dictation tasks and a comparison to CMU Sphinx toolkit in terms of word error rate (WER) was performed. Results seem promising, since Kaldi achieved the absolute lowest WER of 4.75% with HMM-DNN and outperformed CMU Sphinx even when using Gaussian mixture models only.},
author    = {Cassio Batista and Ana Larissa Dias and Nelson {Sampaio Neto}},
booktitle = {Proc. IberSPEECH 2018},
doi       = {10.21437/IberSPEECH.2018-17},
pages     = {77--81},
title     = {Baseline Acoustic Models for Brazilian Portuguese Using Kaldi Tools},
url       = {http://dx.doi.org/10.21437/IberSPEECH.2018-17},
year      = {2018}
}

## Abstract

In order to transmit data efficiently over an optical network, many routing and wavelength assignment (RWA) algorithms have been proposed. This work presents a genetic algorithm that aims at solving the RWA problem, which consists of choosing the most suitable lightpath (i.e., a combination of a route and a wavelength channel) between a source-destination pair of nodes in all-optical networks. A comparison to some already known approaches in terms of blocking probability per load over four network topologies was made. Simulation results show a good performance, since the average blocking probability achieved by the proposed genetic algorithm was relatively equivalent to the values yielded by the standard approaches over two network topologies; and way lower on the other two networks.

## BibTeX Citation

@inproceedings{Batista18a,
abstract  = {In order to transmit data efficiently over an optical network, many routing and wavelength assignment (RWA) algorithms have been proposed. This work presents a genetic algorithm that aims at solving the RWA problem, which consists of choosing the most suitable lightpath (i.e., a combination of a route and a wavelength channel) between a source-destination pair of nodes in all-optical networks. A comparison to some already known approaches in terms of blocking probability per load over four network topologies was made. Simulation results show a good performance, since the average blocking probability achieved by the proposed genetic algorithm was relatively equivalent to the values yielded by the standard approaches over two network topologies; and way lower on the other two networks.},
acmid     = {3277126},
address   = {New York, NY, USA},
author    = {Batista, Cassio and Teixeira, Diego and Coelho, Thiago and Ara\'{u}jo, Josivaldo},
booktitle = {Proceedings of the 10th Latin America Networking Conference},
doi       = {10.1145/3277103.3277126},
isbn      = {978-1-4503-5922-1},
keywords  = {Genetic algorithm, WDM optical networks, general objective function, routing and wavelength assignment},
location  = {S\~{a}o Paulo, Brazil},
numpages  = {8},
pages     = {56--63},
publisher = {ACM},
series    = {LANC '18},
title     = {Static-Traffic Routing and Wavelength Assignment in Transparent WDM Networks Using Genetic Algorithm},
url       = {http://doi.acm.org/10.1145/3277103.3277126},
year      = {2018}
}