Tigrinya Automatic Speech recognition with Morpheme based recognition units

no code implementations • WS 2020 • Hafte Abera, sebsibe hailemariam

Therefore a Tigrinya large vocabulary continuous speech recognition system often has a large number of different units and a high out-of-vocabulary (OOV) rate if a word is used as a recognition unit of a language model (LM) and lexicon.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Large Vocabulary Read Speech Corpora for Four Ethiopian Languages: Amharic, Tigrigna, Oromo, and Wolaytta

no code implementations • WS 2020 • Solomon Teferra Abate, Martha Yifiru Tachbelie, Michael Melese, Hafte Abera, Tewodros Gebreselassie, Wondwossen Mulugeta, Yaregal Assabie, Million Meshesha Beyene, Solomon Atinafu, Binyam Ephrem Seyoum

To address this problem we have developed four medium-sized (longer than 22 hours each) speech corpora for four Ethiopian languages: Amharic, Tigrigna, Oromo, and Wolaytta.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Large Vocabulary Read Speech Corpora for Four Ethiopian Languages: Amharic, Tigrigna, Oromo and Wolaytta

no code implementations • LREC 2020 • Solomon Teferra Abate, Martha Yifiru Tachbelie, Michael Melese, Hafte Abera, Tewodros Abebe, Wondwossen Mulugeta, Yaregal Assabie, Million Meshesha, Solomon Afnafu, Binyam Ephrem Seyoum

To assess usability of the corpora for (the purpose of) speech processing, we have developed ASR systems for each language.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Speech Recognition for Tigrinya language Using Deep Neural Network Approach

no code implementations • WS 2019 • Hafte Abera, Sebsibe H/mariam

This work presents a speech recognition model for Tigrinya language . The Deep Neural Network is used to make the recognition model.

speech-recognition Speech Recognition

English-Ethiopian Languages Statistical Machine Translation

no code implementations • WS 2019 • Solomon Teferra Abate, Michael Melese, Martha Yifiru Tachbelie, Million Meshesha, Solomon Atinafu, Wondwossen Mulugeta, Yaregal Assabie, Hafte Abera, Biniyam Ephrem, Tewodros Gebreselassie, Wondimagegnhue Tsegaye Tufa, Amanuel Lemma, Tsegaye Andargie, Seifedin Shifaw

In this paper, we describe an attempt towards the development of parallel corpora for English and Ethiopian Languages, such as Amharic, Tigrigna, Afan-Oromo, Wolaytta and Ge{'}ez.

Machine Translation Translation

Parallel Corpora for bi-lingual English-Ethiopian Languages Statistical Machine Translation

no code implementations • COLING 2018 • Solomon Teferra Abate, Michael Melese, Martha Yifiru Tachbelie, Million Meshesha, Solomon Atinafu, Wondwossen Mulugeta, Yaregal Assabie, Hafte Abera, Binyam Ephrem, Tewodros Abebe, Wondimagegnhue Tsegaye, Amanuel Lemma, Tsegaye Andargie, Seifedin Shifaw

In this paper, we describe an attempt towards the development of parallel corpora for English and Ethiopian Languages, such as Amharic, Tigrigna, Afan-Oromo, Wolaytta and Ge{'}ez.

Machine Translation Translation

Parallel Corpora for bi-Directional Statistical Machine Translation for Seven Ethiopian Language Pairs

no code implementations • COLING 2018 • Solomon Teferra Abate, Michael Melese, Martha Yifiru Tachbelie, Million Meshesha, Solomon Atinafu, Wondwossen Mulugeta, Yaregal Assabie, Hafte Abera, Binyam Ephrem, Tewodros Abebe, Wondimagegnhue Tsegaye, Amanuel Lemma, Tsegaye Andargie, Seifedin Shifaw

Based on the results we obtained, we are currently working towards handling the morphological complexities to improve the performance of statistical machine translation among the Ethiopian languages.

Machine Translation Translation

Design of a Tigrinya Language Speech Corpus for Speech Recognition

no code implementations • COLING 2018 • Hafte Abera, Sebsibe H/mariam

The authors provide also procedures that were used for the creation of Tigrinya speech recognition corpus which is the under-resourced language.

speech-recognition Speech Recognition