Connectionist Architectures for Multi-Speaker Phoneme Recognition
II, John B. Hampshire, Waibel, Alex
–Neural Information Processing Systems
We present a number of Time-Delay Neural Network (TDNN) based architectures for multi-speaker phoneme recognition (/b,d,g/ task). We use speech of two females and four males to compare the performance of the various architectures against a baseline recognition rate of 95.9% for a single IDNN on the six-speaker /b,d,g/ task.
Neural Information Processing Systems
Dec-31-1990