After all, we don't promote our tool's ability to generate an audiobook in minutes in order for someone to have to listen through the whole audio to then re-write the entire text. Recognizing these subtle distinctions is crucial since our goal is to minimize the need for human intervention in the generation process. Deciding which one is appropriate when depends on the context: ‘read’ in the present and past tenses or ‘minute’ meaning a unit of time or something small. For example, some words are written in the same way but have different meaning e.g. But it also helps it avoid making logical mistakes. This zoomed-out perspective allows it to intonate longer fragments properly by overlaying a particular train of thought stretching multiple sentences with a unifying emotional pattern, as shown in our previous entry containing lengthier content. Our model is equally sensitive to the wider situation surrounding each utterance - it assesses whether something makes sense by how it ties to preceding and succeeding text. Contextīut knowing the meaning of individual words is not enough. Likewise, it appropriately exaggerates the reaction when the speaker is amused by something hilarious - it’s ‘ sooooo funny’. Punctuation and the meaning of words play a leading role in deciding how to deliver a particular sentence but notice also how when the speaker is happy with victory, the model convincingly produces sounds which are not part of regular speech, like laughter (we will release a compilation of the different laughs our AI is capable of shortly!). All differences in intonation and mood come purely from text - nothing else influenced the output.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |