The development of a set of everyday, nonverbal, digitized sounds for use i
n auditory confrontation naming applications is described. Normative data a
re reported for 130 sounds of varying lengths representing a wide variety o
f acoustic events such as sounds produced by animals, people, musical instr
uments, tools, signals, and liquids. In Study 1, criteria for scoring namin
g accuracy were developed and rating data were gathered on degree of confid
ence in sound identification and the perceived familiarity, complexity, and
pleasantness of the sounds. In Study 2, the previously developed criteria
for scoring naming accuracy were applied to the naming responses of a new s
ample of subjects, and oral naming times were measured. In Study 3 data wer
e gathered on how subjects categorized the sounds: In the first categorizat
ion task - free classification - subjects generated category descriptions f
or the sounds; in the second task - constrained classification - a differen
t sample of subjects selected the most appropriate category label for each
sound from a list of 27 labels generated in the first task. Tables are prov
ided in which the 120 stimuli are sorted by familiarity, complexity, pleasa
ntness, duration, naming accuracy, speed of identification, and category pl
acement. The .WAV sound files are freely available to researchers and clini
cians via a sound archive on the World Wide Web; the URL is http://www.cofc
.edu/similar to marcellm/confront.htm.