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better sentence
Enhanced sentences with improved emotion yield better analysis for text-to-speech (TTS) quality.
Testing with these enhanced sentences will likely produce better results than those obtained with previous sentences.
Try yourself with some sentences.
Agree that there should be a lot more sentences that have commas, dots and exclamation marks as mentioned in #13
But the current sentences should not be removed.
Also, from where do these new sentences come from? What is the source?
Still, the Harvard sentences should be kept and perhaps even prioritized. The reason is:I finally understand those Harvard sentences and why they have so few commas. There are times when Pheme correctly pauses mid-sentence, making the sentence more comprehensible. ElevenLabs never does, plows right through.
These are the super rare cases when Pheme outclasses ElevenLabs. Though now Pheme is disabled due to poor overall performance.
Also you should parse all the non-harvard sentences through the toxicity Python library used by TTT-Arena.
Still, the Harvard sentences should be kept and perhaps even prioritized. The reason is:
I finally understand those Harvard sentences and why they have so few commas. There are times when Pheme correctly pauses mid-sentence, making the sentence more comprehensible. ElevenLabs never does, plows right through.
I would argue the opposite. Pauses at commas, periods, and other punctuation goes into how natural a speech sound. The location of where punctuations appear corresponds to where we usually pause when speaking as well. Having sentences without comma would just give certain models that doesn't pause an unfair advantage against the others.