A voice sample collection method based on network dubbing games

Abstract

The invention provides a voice sample collection method based on a network dubbing game; the method comprises the following steps: 101, a voice sample collecting node: playing a video, dubbing with video captions, allowing the user to change the original self voice on a client end, and enabling a backstage server to machine-score the original audio frequency according to PESQ objective voice quality evaluation and speech recognition; 102, voice sampling subjective evaluation node: extracting the voice sample and displaying same on a game home page, and allowing the user to audition and evaluate the displaying voice sample and select a conformity or an unconformity button; allowing the backstage to artificially audition the voice sample with more unconformity buttons selected by the user, and removing the voice sample from the sample database if the selected sample cannot indeed comply with the original text after artificial audition. An artificial field recording voice sample scheme is high in recording cost and long time duration, and an artificial telephone recording scheme voice sample contains channel noises; the voice sample collection method can solve said problems.

Description

technical field [0001] The invention relates to a voice signal processing technology and a voice sample collection technology, in particular to a voice sample collection method based on a network dubbing game. Background technique [0002] With the popularity of wearable devices, smart hardware, and smart home, speech recognition, as the most important means of human-computer interaction, has a growing market. Traditional continuous speech recognition technology is mainly based on GMM-HMM, and the development trend of modern speech recognition technology is neural network. The neural network is constructed by simulating the structure of human neurons. Its deep structure has a stronger ability to describe speech than traditional methods, and is more suitable for complex pattern classification problems such as speech recognition. Among many neural network algorithms, deep neural network (Deep Neutral Network) and long-short-term memory unit network (Long-Short TermMemory) hav...

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Problems solved by technology

[0011] The purpose of the present invention is to solve the shortcomings of the existing artificial on-site recording voice sample scheme, which has high recording cost and long time, and the manual telephone recording voice sample scheme contains channel noise, and provides a voice sample collection method based on network dubbing games: through dubbing games Guide users to record voice to collect voice samples

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