Multi-State Time Delay Networks for Continuous Speech Recognition

Neural Information Processing Systems 

We present the "Multi-State Time Delay Neural Network" (MS-TDNN) as an extension of the TDNN to robust word recognition. The resulting system has the ability to manage the sequential order of subword units. In this paper we present extensive new evaluations of this approach over speaker-dependent and speaker-indepen(cid:173) dent connected alphabet.