English Alphabet Recognition with Telephone Speech

A recognition system is reported which recognizes names spelled over the telephone with brief pauses between letters. The system uses separate neural networks to locate segment boundaries and classify letters. The letter scores are then used to search a database of names to find the best scoring name. The speaker-independent classification rate for spoken letters is 89%. The system retrieves the correct name, spelled with pauses between letters, 91% of the time from a database of 50,000 names. 1 INTRODUCTION The English alphabet is difficult to recognize automatically because many letters sound alike; e.g., B/D, P/T, V/Z and F/S. When spoken over the telephone, the information needed to discriminate among several of these pairs, such as F/S, P/T, B/D and V/Z, is further reduced due to the limited bandwidth of the channel Speaker-independent recognition of spelled names over the telephone is difficult due to variability caused by channel distortions, different handsets, and a variety o..