Speech Resources in the Tamasheq Language

被引：0

作者：

Boito, Marcely Zanon ^{[1
]}

Bougares, Fethi ^{[2
]}

Barbier, Florentin ^{[3
]}

Gahbiche, Souhir ^{[3
]}

Barrault, Loic ^{[2
]}

Rouvier, Mickael ^{[1
]}

Esteve, Yannick ^{[1
]}

机构：

[1] Avignon Univ, LIA, Avignon, France

[2] Le Mans Univ, LIUM, Le Mans, France

[3] Airbus, Toulouse, France

来源：

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2022年

基金：

欧盟地平线“2020”;

关键词：

speech corpus; speech translation; tamasheq; zarma; hausa; fulfulde; french;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we present two datasets for Tamasheq, a developing language mainly spoken in Mali and Niger. These two datasets were made available for the IWSLT 2022 low-resource speech translation track, and they consist of collections of radio recordings from daily broadcast news in Niger (Studio Kalangou) and Mali (Studio Tamani). We share (i) a massive amount of unlabeled audio data (671 hours) in five languages: French from Niger, Fulfulde, Hausa, Tamasheq and Zarma, and (ii) a smaller 17 hours parallel corpus of audio recordings in Tamasheq, with utterance-level translations in the French language. All this data is shared under the Creative Commons BY-NC-ND 3.0 license. We hope these resources will inspire the speech community to develop and benchmark models using the Tamasheq language.

引用

页码：2066 / 2071

页数：6

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