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Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties
Models pre-trained on multiple languages have shown significant promise ...
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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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Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages
With recent advancements in language technologies, humansare now interac...
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Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
In the problem of learning disentangled representations, one of the prom...
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Semi-Supervised Recognition under a Noisy and Fine-grained Dataset
Simi-Supervised Recognition Challenge-FGVC7 is a challenging fine-graine...
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A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Despite recent advances in natural language processing and other languag...
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AlloVera: A Multilingual Allophone Database
We introduce a new resource, AlloVera, which provides mappings from 218 ...
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Universal Phone Recognition with a Multilingual Allophone System
Multilingual models can improve language processing, particularly for lo...
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Towards Zero-shot Learning for Automatic Phonemic Transcription
Automatic phonemic transcription tools are useful for low-resource langu...
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Adversarial Music: Real World Audio Adversary Against Wake-word Detection System
Voice Assistants (VAs) such as Amazon Alexa or Google Assistant rely on ...
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SANTLR: Speech Annotation Toolkit for Low Resource Languages
While low resource speech recognition has attracted a lot of attention f...
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Multilingual Speech Recognition with Corpus Relatedness Sampling
Multilingual acoustic models have been successfully applied to low-resou...
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The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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Phoneme Level Language Models for Sequence Based Low Resource ASR
Building multilingual and crosslingual models help bring different langu...
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Real-time Neural-based Input Method
The input method is an essential service on every mobile and desktop dev...
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Domain Robust Feature Extraction for Rapid Low Resource ASR Development
Developing a practical speech recognizer for a low resource language is ...
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