Speech synthesis is simply the process of converting text information into standard speech, and finally the corresponding audio file can be output. It can be achieved that machines can speak in real time like humans. The fields involved include knowledge in acoustics, linguistics, digital signal processing, computer management, etc.
mainly includes: obtaining input text→language processing→prosodic processing→acoustic processing→output audio file. Among them, speech recognition mainly involves three stages of operations: language processing, prosody processing, and acoustic processing.
This stage mainly simulates the process of human understanding of natural language. The main work includes input text analysis, word segmentation, and semantic analysis. The purpose is to allow the computer to understand as accurately as possible Enter the meaning of the text and prepare for the next step.
The main purpose is to plan the pitch, length, intensity and other speech features for the synthesized speech. The purpose is to allow the synthesized speech to express the exact semantic meaning and make the output audio files are more realistic.
This stage mainly synthesizes the processing results of the first two stages into the final audio file.
Intelligent services mainly include voice robots, smart speakers and other equipment. Through speech synthesis, various sounds can be output, such as sweet and friendly bank navigation robots; cute early childhood education robots; smart speakers have also greatly enriched our daily lives, such as notification smart speakers that can play songs, cross talk, news, and tell stories. and other practical functions.
Mobile APP applications are even more extensive, such as the listening function of mobile readers, the navigation broadcast function of maps, the voice assistant that comes with the mobile phone, and video clips through text It is widely used in direct conversion of audio files.
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