Statistical methods for speech recognition
Statistical methods for speech recognition
The EuTrans Spoken Language Translation System
Machine Translation
Acoustic and syntactical modeling in the ATROS system
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Multi-modal computer assisted speech transcription
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
A prototype for interactive speech transcription balancing error and supervision effort
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
A computer assisted speech transcription system
EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Computer assisted transcription for ancient text images
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
| Hi-index | 0.00 |
Speech recognition systems have proved their usefulness in very different tasks. Nevertheless, the present state-of-the-art of the speech technologies does not make it possible to achieve perfect transcriptions in most of the cases. Owing to this fact, human intervention is necessary to check and correct the results of such systems. We present a novel approach that faces this problem by combining the efficiency of the automatic speech recognition systems with the accuracy of the human transcriptor. The result of this process is a cost-effective perfect transcription of the input signal.