Audio-to-text alignment for speech recognition with very limited resources
By Xavier Anguera Miró, Jordi Luque, Ciro Gracia. 2014
32 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Natural Language Processing, Speech & Audio, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Daniel Povey
- Sanjeev Khudanpur
- James R. Glass
- Gabriel Synnaeve
- Yoshua Bengio
- Percy Liang
- Shinji Watanabe
- Hung-yi Lee
In Natural Language Processing
- Daniel Povey
- Chaitanya Ahuja
- Tadas Baltrusaitis
- Vassil Panayotov
- Guoguo Chen
- Sanjeev Khudanpur
- Louis-philippe Morency
- Soujanya Poria
In Speech & Audio
- Sanjeev Khudanpur
- Daniel Povey
- Guoguo Chen
- Shinji Watanabe
- Chaitanya Ahuja
- Tadas Baltrusaitis
- Vassil Panayotov
- Louis-philippe Morency
In Signal Processing
- Daniel Povey
- Sanjeev Khudanpur
- James R. Glass
- Gabriel Synnaeve
- Shinji Watanabe
- Ronan Collobert
- Wei-Ning Hsu
- Hung-yi Lee
Citations in the corpus
- Librispeech: An ASR corpus based on public domain audio books (2015, background): “(Note: we have since become aware of a differen t, phone-based approach [7]).”
- Multimodal Machine Learning: A Survey and Taxonomy (2017, methodology): “[8] use a manually defined similarity between graphemes and phonemes; and Tapaswi et al.”