Phoneme recognition in TIMIT with BLSTM-CTC

Details Phoneme recognition in TIMIT with BLSTM-CTC Phoneme recognition in TIMIT with BLSTM-CTC

2008-04-21

arxiv.org/abs/0804.3269v1

Computer Science

Computation and Language

8 pages

Scientific paper

We compare the performance of a recurrent neural network with the best results published so far on phoneme recognition in the TIMIT database. These published results have been obtained with a combination of classifiers. However, in this paper we apply a single recurrent neural network to the same task. Our recurrent neural network attains an error rate of 24.6%. This result is not significantly different from that obtained by the other best methods, but they rely on a combination of classifiers for achieving comparable performance.

Affiliated with

Also associated with

No associations

Rating

Phoneme recognition in TIMIT with BLSTM-CTC does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Phoneme recognition in TIMIT with BLSTM-CTC, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Phoneme recognition in TIMIT with BLSTM-CTC will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-36368