Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Josh Meyer

Josh Meyer
Alert button

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus


Jul 07, 2022
Josh Meyer, David Ifeoluwa Adelani, Edresson Casanova, Alp Öktem, Daniel Whitenack Julian Weber, Salomon Kabongo, Elizabeth Salesky, Iroro Orife, Colin Leong, Perez Ogayo, Chris Emezue, Jonathan Mukiibi, Salomey Osei, Apelete Agbolo, Victor Akinode, Bernard Opoku, Samuel Olanrewaju, Jesujoba Alabi, Shamsuddeen Muhammad

Add code
Alert button

Figure 1 for BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
Figure 2 for BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
Figure 3 for BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
Figure 4 for BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
* Accepted to INTERSPEECH 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition


Jun 20, 2022
Jonathan Mukiibi, Andrew Katumba, Joyce Nakatumba-Nabende, Ali Hussein, Josh Meyer

Add code
Alert button

Figure 1 for The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition
Figure 2 for The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition
Figure 3 for The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition
Figure 4 for The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition
* Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 1945 to 1954 Marseille, 20 to 25 June 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice


May 10, 2021
Francis M. Tyers, Josh Meyer

Add code
Alert button

Figure 1 for What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice
Figure 2 for What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice
Figure 3 for What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice
Figure 4 for What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Few-Shot Keyword Spotting in Any Language


Apr 22, 2021
Mark Mazumder, Colby Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi

Add code
Alert button

Figure 1 for Few-Shot Keyword Spotting in Any Language
Figure 2 for Few-Shot Keyword Spotting in Any Language
Figure 3 for Few-Shot Keyword Spotting in Any Language
Figure 4 for Few-Shot Keyword Spotting in Any Language
* Submitted to INTERSPEECH 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Common Voice: A Massively-Multilingual Speech Corpus


Dec 13, 2019
Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M. Tyers, Gregor Weber

Add code
Alert button

Figure 1 for Common Voice: A Massively-Multilingual Speech Corpus
Figure 2 for Common Voice: A Massively-Multilingual Speech Corpus
Figure 3 for Common Voice: A Massively-Multilingual Speech Corpus
Figure 4 for Common Voice: A Massively-Multilingual Speech Corpus
* Submitted to LREC 2020 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email