ASA 127th Meeting M.I.T. 1994 June 6-10  2pSP38. Speech
recognition with minimal spectral cues.  Robert V. Shannon  Fan-
Gang Zeng  John Wygonski  Vivek Kamath  Micheal Ekelid   Speech
recognition was measured in conditions that systematically
reduced the amount of spectral information while preserving
temporal envelope information. Speech stimuli were spectrally
separated into several frequency bands. The temporal envelope in
each band was extracted by half-wave rectification followed by
low-pass filtering. Each resulting envelope was then used to
modulate a noise band with the same bandwidth and cut-off
frequencies as the original analysis band. Identification of
consonants (16 consonants in aCa context), vowels (8 vowels in
hVd context), and words in simple sentences (CUNY sentences) was
measured as a function of the number and frequency distribution
of analysis bands, the envelope filter cut-off frequency, and
overall spectral shaping. Results as a function of the number of
channels show that consonant rec