Doing forced alignment with custom data

[saurabh vyas]

I know there are a lot of amazing open source force alignment tools, like Gentle, Montreal forced aligner etc., but most of them work for english data, and are trained on english models, I have 2 questions :

1. How does force alignment work in context of kaldi ( word level )? 

 For example, I have an hour of audio, and corresponding text, and I would like to get sentence level alignments, where each sentence consists of words.

2. How can I train my own model in kaldi, for a new language with less data , for forced alignment?

  Also for this, how much data will I need ? 

I have limited Hindi data, and I need to build a custom forced aligner to have a basic system,I can later improve it, once I have more data, Is Kaldi suitable for this ?

Thanks 

[Daniel Povey]

You can definitely do this; you would first need to build a system for that language, maybe on a small amount of data from that language (that training data should have short-ish sentences, preferably no longer than 10 seconds; I recommend at least 20 minutes of speech, preferably more).

The script

steps/cleanup/segment_long_utterances.sh  

can then do it.

But I don't claim it will be easy for you to use.  These tools were designed for ASR professionals to use.

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[saurabh vyas]

Thanks for your reply, I will have a look at the above mentioned script and try bootstrapping a system with small amount of sentence level data.

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