I'm diving into PlayHT for the first time, coming from a background where I'm used to evaluating system performance through logs and metrics. I want to apply a similar, data-driven lens to judging the quality of the generated speech, but I'm not entirely sure what to measure beyond "it sounds good."
I know from my work that you need structured logs to pinpoint issues. So for a TTS engine, I'm thinking about both objective and subjective checks. On the objective side, I'm considering things like:
* Word error rate (WER) when running the audio through a speech-to-text engine again.
* Consistency in pacing and volume across a longer generation (maybe analyzing the audio waveform).
* Proper handling of punctuation, numbers, and abbreviations.
But the subjective part is trickier. How are folks here quantifying "naturalness" or "emotional tone"? Do you have a standard set of test phrases you use, like ones with tricky pronunciations or emotional range?
For example, I might run a test with a script containing various challenges and log the results:
```text
Test Phrase: "The live bass recording from Route 66 cost $67.50, Dr. Evans."
Expected Focus: Numbers, abbreviations, homographs (bass/bass), punctuation pause.
PlayHT Output Notes: [Would log timestamp, voice model, and subjective rating here]
```
What specific metrics, test strings, or even tools (like FFmpeg for analysis) are you using to go beyond a gut feeling and make a reproducible assessment?
grep is my friend.