Summary of the paper
| Title | Phoneme Similarity Matrices to Improve Long Audio Alignment for Automatic Subtitling |
|---|---|
| Authors | Pablo Ruiz, Aitor Álvarez and Haritz Arzelus |
| Abstract | Long audio alignment systems for Spanish and English are presented, within an automatic subtitling application. Language-specific phone decoders automatically recognize audio contents at phoneme level. At the same time, language-dependent grapheme-to-phoneme modules perform a transcription of the script for the audio. A dynamic programming algorithm (Hirschberg's algorithm) finds matches between the phonemes automatically recognized by the phone decoder and the phonemes in the script’s transcription. Alignment accuracy is evaluated when scoring alignment operations with a baseline binary matrix, and when scoring alignment operations with several continuous-score matrices, based on phoneme similarity as assessed through comparing multivalued phonological features. Alignment accuracy results are reported at phoneme, word and subtitle level. Alignment accuracy when using the continuous scoring matrices based on phonological similarity was clearly higher than when using the baseline binary matrix. |
| Topics | Phonetic Databases, Phonology, Tools, Systems, Applications |
Full paper  |
Phoneme Similarity Matrices to Improve Long Audio Alignment for Automatic Subtitling |
| Bibtex | @InProceedings{RUIZ14.387, author = {Pablo Ruiz and Aitor Álvarez and Haritz Arzelus}, title = {Phoneme Similarity Matrices to Improve Long Audio Alignment for Automatic Subtitling}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |