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AI4D – African Language Program
Advances in speech and language technologies enable tools such as voice-...
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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
Most speech and language technologies are trained with massive amounts o...
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Real-time low-resource phoneme recognition on edge devices
While speech recognition has seen a surge in interest and research over ...
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The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection
We describe the system our team used during NIST's LoReHLT (Low Resource...
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AlloVera: A Multilingual Allophone Database
We introduce a new resource, AlloVera, which provides mappings from 218 ...
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Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments
There is growing interest in ASR systems that can recognize phones in a ...
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Machine Assisted Analysis of Vowel Length Contrasts in Wolof
Growing digital archives and improving algorithms for automatic analysis...
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AI4D – African Language Dataset Challenge
As language and speech technologies become more advanced, the lack of fundamental digital resources for African languages, such as data, spell checkers and Part of Speech taggers, means that the digital divide between these languages and others keeps growing. This work details the organisation of the AI4D - African Language Dataset Challenge, an effort to incentivize the creation, organization and discovery of African language datasets through a competitive challenge. We particularly encouraged the submission of annotated datasets which can be used for training task-specific supervised machine learning models.
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