kani-tts-2-pt / examples.yaml
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examples:
- text: >-
No, that does not make you a failure. No, sweetie, no. It just, uh, it just means that you're having a tough time...
model: "Exp-1"
speaker: "Kore (en)"
temperature: 1
top_p: 0.95
repetition_penalty: 1.1
- text: >-
Anyway, um, so, um, tell me, tell me all about her. I mean, what's she like? Is she really, you know, pretty?
model: "Exp-1"
speaker: "Andrew (en)"
temperature: 1
top_p: 0.95
repetition_penalty: 1.1
- text: >-
Have some wine, the March Hare said in an encouraging tone. Alice looked all round the table, but there was nothing on it but tea. I don't see any wine, she remarked. There isn't any, said the March Hare. Then it wasn't very civil of you to offer it, said Alice angrily. It wasn't very civil of you to sit down without being invited, said the March Hare. I didn't know it was YOUR table, said Alice; it's laid for a great many more than three. Your hair wants cutting, said the Hatter.
model: "Exp-1"
speaker: "Andrew (en)"
temperature: 1
top_p: 0.95
repetition_penalty: 1.1
- text: >-
Attention networks have proven to be an effective approach for embedding categorical inference within a deep neural network. However, for many tasks we may want to model richer structural dependencies without abandoning end-to-end training. In this work, we experiment with incorporating richer structural distributions, encoded using graphical models, within deep networks. We show that these structured attention networks are simple extensions of the basic attention procedure, and that they allow for extending attention beyond the standard softselection approach, such as attending to partial segmentations or to subtrees.
model: "Exp-1"
speaker: "Andrew (en)"
temperature: 1
top_p: 0.95
repetition_penalty: 1.1
- text: >-
Кыргыз жери! Сенин ар бир ташыңда, ар бир тооңдо, ар бир сууңда менин жүрөгүмдүн бир бөлүгү бар. Сен менин ата-журтум, менин ыйык мекенимсиң.
model: "Exp-1"
speaker: "Aisulu (ky)"
temperature: 1
top_p: 0.95
repetition_penalty: 1.1
- text: >-
Өлкө башчынын айтымында, айдоочулук күбөлүктөрдү алмаштыруу чечими коопсуздук жана мамлекеттин эл аралык аброю үчүн кабыл алынган. Анткени мурда чет өлкөлөрдө чыгарылган эски үлгүдөгү документтердин коргоо деңгээли алсыз болуп, жасалмалоо фактылары кеңири тараган. Айрым жасалма ID-паспорттор жана айдоочулук күбөлүктөр менен кылмышка, атүгүл террорчулукка байланышкан учурлар катталып, бул Кыргызстанга олуттуу имидждик зыян келтирген.
model: "Exp-1"
speaker: "Baike (ky)"
temperature: 1
top_p: 0.95
repetition_penalty: 1.1
- text: >-
¡Qué alegría volver a verte después de tanto tiempo!
model: "Exp-1"
speaker: "Nova (es)"
temperature: 1
top_p: 0.95
repetition_penalty: 1.1