Fisher Corpus
From SpeechWiki
This page links to the various things I've done with the Fisher corpus. It may be helpful for quickly building a basic speech recognizer.
Train/Devel/Test partitions
For all the models and experiments, the entire Fisher corpus into 80/10/10 percent for Train/Devel/Test partitions as follows
The utterance id file is in scliteUttIds.txt The utterance IDs are in the 'swb' format that sclite understands, and so sclite can report accuracy statistics per conversation side.
There is also another utterance Ids file uttIds.txt, which is used by some tools (only by resegment.pl, I think). It's there only for compatibility and should not be used.
Additionally, the scp files and corresponding transcriptions file pointing to the Word Aligned data are a subset of all the utterances (since some of the utterances could not be word aligned). They are partitioned differently, and are specified below.
The splits are as follows:
| Set | Conversation Sides | Lines in scliteUttIds.txt | Lines in wordPerUtteranceTrans.txt |
|---|---|---|---|
| Training | 00001A to 09360B | 1 to 1775831 | 1 to 21718060 |
| Devel | 09361A to 10530B | 1775832 to 1991965 | 21718061 to 24482529 |
| Test | 10531A to 11699B | 1991965 to 2223159 | 24482530 to 2223043 |
The experiment infrastructure needs its own page.
The experiments
The goal of these experiments is to explore the utility of using mixed units (phones, syllables and whole words) for large vocabulary speech recognition. These experiments are preformed on the Fisher Corpus.
The phonetic and mixed-unit dictionaries, the language models and the front end used in my pronunciation experiments all have their own pages.
