Automatic alignment and error correction of human generated transcripts for long speech recordings
By Timothy J. Hazen. 2006
113 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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
- Shinji Watanabe
- Ronan Collobert
- Yoshua Bengio
- Hung-yi Lee
In Speech & Audio
- Sanjeev Khudanpur
- Daniel Povey
- Shinji Watanabe
- Guoguo Chen
- Jordi Luque
- Xavier Anguera Miró
- Vassil Panayotov
- Ciro Gracia
In Signal Processing
- Daniel Povey
- Sanjeev Khudanpur
- Shinji Watanabe
- James R. Glass
- Gabriel Synnaeve
- Ronan Collobert
- Wei-Ning Hsu
- Hung-yi Lee
Citations in the corpus
- Librispeech: An ASR corpus based on public domain audio books (2015, methodology): “Our procedure is similar to that described in [6], and c onsists of two stages.”
- Audio-to-text alignment for speech recognition with very limited resources (2014, methodology): “In [3] the creation of aligned corpora is used to build TTS systems, and in [4] emphasis is placed on the automatic alignment and correction of inaccurate text transcripts through an iterative process.”