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@ -190,7 +190,7 @@ cmu_dict_path is optional if you'd like to visualize the distribution of the pho
Analyze outputs 6 different plots.
### Average Seconds vs Character Lengths
![avgsecvslen](analyze/example_visuals/avgsecvscharlen.png)
![avgsecvslen](example_visuals/avgsecvscharlen.png)
This tells you what your audio data looks like in the time perspective. This plot shows the average seconds of your audio sample per character length of the sample.
@ -241,4 +241,4 @@ Below is an example of a bad distribution for number of samples. This distributi
### Phonemes Distribution
![phonemedist](example_visuals/phonemedist.png)
This only output if you use the `--cmu_dict_path` parameter. The X axis are the unique phonemes and the Y axis shows how many times that phoneme shows up in your dataset. We are still experimenting with how the distribution should look, but the theory is having a balanced distribution of phonemes will increase quality in pronounciation.
This only output if you use the `--cmu_dict_path` parameter. The X axis are the unique phonemes and the Y axis shows how many times that phoneme shows up in your dataset. We are still experimenting with how the distribution should look, but the theory is having a balanced distribution of phonemes will increase quality in pronounciation.