Could you tell me how to modify it? thanks in advance!
2007/8/7, Junichi Yamagishi <jyamagis@xxxxxxxxxxxx>: Hi,
On 2007/08/07, at 16:45, Heiga ZEN (Byung Ha CHUN) wrote:
> Lee Sillon wrote (2007/08/08 0:10):
>
>> 1. If the training corpus is larger (for example,10,000
>> sentences), the training process will crash because of memory
>> consuming(about 2GB). Could it be solved?
>
> I guess tree-based clustering (HHEd) consumes huge memory for
> larger training data. You can use low-memory implementation of tree-
> based clustering by specifying -r option.
I've trained HMMs for HMM-based speech synthesis from 23,000
sentences.
The HTS toolkit worked well.
(although I needed to slightly modify training scripts
for running the HTS commands.)
Regards,
Junichi
--
Have a nice day!
Sillon Lee
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