Sentences

---

This block of examples consists of complete spoken sentences, but again each example has been subjected to a range of modifications (the same as were applied to the digits examples): It has been filtered by four different channel characteristics (f1..f4); it has had three different kinds of noise (n0, n1, n2) added at two levels (nXL, nXH), and it has had two reverberation characteristics (r1, r2) added also at two direct-to-reverberant levels (rXL, rXH).

Each row in the following table corresponds to a single base sample, with the differently corrupted versions arrayed across the columns.

Base utterance	Filtered				Noisy						Reverb
sentence-female-1	f1	f2	f3	f4	n0L	n0H	n1L	n1H	n2L	n2H	r1L	r1H	r2L	r2H
sentence-female-2	f1	f2	f3	f4	n0L	n0H	n1L	n1H	n2L	n2H	r1L	r1H	r2L	r2H
sentence-female-3	f1	f2	f3	f4	n0L	n0H	n1L	n1H	n2L	n2H	r1L	r1H	r2L	r2H
sentence-male-1	f1	f2	f3	f4	n0L	n0H	n1L	n1H	n2L	n2H	r1L	r1H	r2L	r2H
sentence-male-2	f1	f2	f3	f4	n0L	n0H	n1L	n1H	n2L	n2H	r1L	r1H	r2L	r2H
sentence-male-3	f1	f2	f3	f4	n0L	n0H	n1L	n1H	n2L	n2H	r1L	r1H	r2L	r2H

Notes on data sources

The 'sentences' are from the TIMIT corpus, one of the earliest standard speech recognition corpora, which collected a wide range of different material covering different phonetic contexts, accents, etc. The background noises are excerpted from the Aurora noisy digits evaluation, and the reverberation characteristics are from a couple of random sources.