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47 строки
2.1 KiB
Plaintext
47 строки
2.1 KiB
Plaintext
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This directory contains example scripts that demonstrate how to
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use Kaldi. Each subdirectory corresponds to a corpus that we have
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example scripts for. Currently these are all corpora available from
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the Linguistic Data Consortium (LDC).
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Explanations of the corpora are below.
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Note: the easiest examples to work with are rm/s3 and wsj/s3.
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wsj: The Wall Street Journal corpus. This is a corpus of read
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sentences from the Wall Street Journal, recorded under clean conditions.
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The vocabulary is quite large.
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Available from the LDC as either: [ catalog numbers LDC93S6A (WSJ0) and LDC94S13A (WSJ1) ]
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or: [ catalog numbers LDC93S6B (WSJ0) and LDC94S13B (WSJ1) ]
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The latter option is cheaper and includes only the Sennheiser
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microphone data (which is all we use in the example scripts).
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rm: Resource Management. Clean speech in a medium-vocabulary task consisting
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of commands to a (presumably imaginary) computer system.
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Available from the LDC as catalog number LDC93S3A (it may be possible to
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get the same data using combinations of other catalog numbers, but this
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is the one we used).
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tidigits: The TI Digits database, available from the LDC (catalog number LDC93S10).
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This is one of the oldest speech databases; it consists of a bunch of speakers
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saying digit strings. It's not considered a "real" task any more, but can be useful
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for demos, tutorials, and the like.
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yesno: This is a simple recipe with some data consisting of a single person
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saying the words "yes" and "no", that can be downloaded from the Kaldi website.
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It's a very easy task, but useful for checking that the scripts run, or if
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you don't yet have any of the LDC data.
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Recipes in progress (these may be less polished than the ones above).
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swbd: Switchboard. A fairly large amount of telephone speech (2-channel, 8kHz
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sampling rate).
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This directory is a work in progress.
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gp: GlobalPhone. This is a multilingual speech corpus.
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timit: TIMIT, which is an old corpus of carefully read speech.
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LDC corpous LDC93S1
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voxforge: A recipe for the free speech data available from voxforge.org
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