Papers with speech processing systems
Analyzing analytical methods: The case of phonology in neural models of spoken language (2020.acl-main)
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| Challenge: | Recent studies have focused on the strengths and weaknesses of various methods for analyzing phonology representations. |
| Approach: | They propose to use diagnostic classifiers and representational similarity analysis to quantify to what extent phonemes and phoneme sequences are encoded. |
| Outcome: | The proposed method is based on two commonly applied techniques . it shows that global-scope methods yield more consistent and interpretable results . |
Large Vocabulary Read Speech Corpora for Four Ethiopian Languages: Amharic, Tigrigna, Oromo and Wolaytta (2020.lrec-1)
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Solomon Teferra Abate, Martha Yifiru Tachbelie, Michael Melese, Hafte Abera, Tewodros Abebe, Wondwossen Mulugeta, Yaregal Assabie, Million Meshesha, Solomon Afnafu, Binyam Ephrem Seyoum
| Challenge: | Automatic Speech Recognition (ASR) is one of the most important technologies to support spoken communication in modern life. |
| Approach: | They have developed four large speech corpora for four Ethiopian languages . they have word error rates of 37.65%, 31.03%, 38.02%, 33.89% for each language . |
| Outcome: | The proposed corpora achieve word error rates of 37.65%, 31.03%, 38.02%, 33.89% for Amharic, Tigrigna, Oromo and Wolaytta. |