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Found 13 papers, 4 papers with code
Induced Inflection-Set Keyword Search in Speech
We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants.
Cross-Lingual Word Embeddings for Low-Resource Language Modeling
We investigate the use of such lexicons to improve language models when textual training data is limited to as few as a thousand sentences.
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading
We address the problem of automatic short answer grading, evaluating a collection of approaches inspired by recent advances in distributional text representations.
Massively Multilingual Adversarial Speech Recognition
We report on adaptation of multilingual end-to-end speech recognition models trained on as many as 100 languages.
The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration
The corpus consists of over 4000 unique translations of the Christian Bible and counting.
Analyse d'erreurs de transcriptions phon\'emiques automatiques d'une langue « rare » : le na (mosuo) (Analyzing errors in automatic phonemic transcriptions of the Na (Mosuo) language (SinoTibetan family) Automatic phonemic transcription tools now reach high levels of accuracy on a single speaker with relatively small amounts of training data: on the order two to three hours of transcribed speech)
Les syst{\`e}mes de reconnaissance automatique de la parole atteignent d{\'e}sormais des degr{\'e}s de pr{\'e}cision {\'e}lev{\'e}s sur la base d{'}un corpus d{'}entra{\^\i}nement limit{\'e} {\`a} deux ou trois heures d{'}enregistrements transcrits (pour un syst{\`e}me mono-locuteur).
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
This paper reports on progress integrating the speech recognition toolkit ESPnet into Elpis, a web front-end originally designed to provide access to the Kaldi automatic speech recognition toolkit.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
Continued pre-training on 70-200 hours of untranscribed speech in these languages can help -- but what about languages without that much recorded data?
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
