177 citations · 251 across the 20 of their papers we have counts for
12 papers · 1 filter
The ÌròyìnSpeech Text Corpus: 24,905 Curated Yorùbá Sentences for Speech and Language Technology
Kola Tubosun, Aanuoluwapo Aremu, Tolulope Ogunremi +2
ÌròyìnSpeech is a 42-hour, 80-speaker Yorùbá read-speech corpus whose audio has been distributed by ELRA since 2024. This paper describes the release of its text component: 24,905…
ÌròyìnSpeech: A multi-purpose Yorùbá Speech Corpus
Tolulope Ogunremi, Kola Tubosun, Anuoluwapo Aremu +2
We introduce ÌròyìnSpeech, a new corpus influenced by the desire to increase the amount of high quality, contemporary Yorùbá speech data, which can be used for both Text-to-Speech…
Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus
Tejumade Afonja, Oladimeji Mudele, Iroro Orife +6
This paper describes foundational efforts with SautiDB-Naija, a novel corpus of non-native (L2) Nigerian English speech. We describe how the corpus was created and curated as well…
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Julia Kreutzer, Isaac Caswell, Lisa Wang +49
With the success of large-scale pre-training and multilingual modeling in Natural Language Processing (NLP), recent years have seen a proliferation of large, web-mined text dataset…
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila +45
Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. "Low-resourced"-ness is a compl…
Towards Neural Machine Translation for Edoid Languages
Iroro Orife
Many Nigerian languages have relinquished their previous prestige and purpose in modern society to English and Nigerian Pidgin. For the millions of L1 speakers of indigenous langua…
Improving Yorùbá Diacritic Restoration
Iroro Orife, David I. Adelani, Timi Fasubaa +4
Yorùbá is a widely spoken West African language with a writing system rich in orthographic and tonal diacritics. They provide morphological information, are crucial for lexical dis…
Masakhane -- Machine Translation For Africa
Iroro Orife, Julia Kreutzer, Blessing Sibanda +22
Africa has over 2000 languages. Despite this, African languages account for a small portion of available resources and publications in Natural Language Processing (NLP). This is du…
The Marchex 2018 English Conversational Telephone Speech Recognition System
Seongjun Hahm, Iroro Orife, Shane Walker +1
In this paper, we describe recent performance improvements to the production Marchex speech recognition system for our spontaneous customer-to-business telephone conversations. In…
Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language Text
Iroro Orife
Yorùbá is a widely spoken West African language with a writing system rich in tonal and orthographic diacritics. With very few exceptions, diacritics are omitted from electronic te…
Semi-Supervised Model Training for Unbounded Conversational Speech Recognition
Shane Walker, Morten Pedersen, Iroro Orife +1
For conversational large-vocabulary continuous speech recognition (LVCSR) tasks, up to about two thousand hours of audio is commonly used to train state of the art models. Collecti…