Abstract: Embodiments of this disclosure disclose a speech processing method and a related device, which may be applied to a scenario in which a user records a short video, a teacher records a teaching speech, or the like. The method includes: obtaining an original speech and a second text, where an original text corresponding to the original speech and a target text to which the second text belongs both include a first text; generating a second speech feature of a corrected text (that is, the second text) in the target text by referring to a first speech feature of a correct text (that is, the first text) in the original text; and then generating, based on the second speech feature, a target edited speech corresponding to the corrected text.

Abstract: The present disclosure relates to text data processing methods and apparatuses. One example method includes obtaining target text, where a phoneme of the target text includes a first phoneme and a second phoneme that are adjacent to each other. Feature extraction is performed on the first phoneme and the second phoneme to obtain a first audio feature of the first phoneme and a second audio feature of the second phoneme. By using a target recurrent neural network (RNN) and based on the first audio feature, first speech data corresponding to the first phoneme is obtained.By using the target RNN and based on the second audio feature, second speech data corresponding to the second phoneme is obtained.By using a vocoder and based on the first speech data and the second speech data, audio corresponding to the first phoneme and audio corresponding to the second phoneme are obtained.