The Voice Lie Detector app is a mobile application that uses speech recognition technology combined with speech analysis algorithms to analyze the veracity of what users say and their emotional state. It can analyze the user's voice frequency, intonation, volume, speaking speed and other indicators, determine potential rendering, exaggeration, lies and other problems in the voice, and provide users with corresponding suggestions.
1. This App is designed to help users understand the sincerity of their communication;
2. Adjust communication strategies in a timely manner to achieve more efficient communication and communication;
3. Use mobile phones, headphones, microphones and other voice recording devices to collect the voice signals of the user's speech.
1. Preprocess the collected speech signals, including speech segmentation, noise filtering, speech enhancement, etc.;
2. To ensure that the signals required for subsequent analysis models are clear and of high quality;
3. After the signal is preprocessed, it needs to be converted into a specific feature vector to facilitate subsequent model processing.
1. Polygraph model training is usually done using machine learning algorithms, and the model needs to gradually improve its accuracy through learning from historical data;
2. After inputting the user’s voice signal into the model for analysis, the final lie detection result output will be notified directly to the user through the App;
3. Determine the user's current emotional state by analyzing voice signals, including whether the mood is stable, doubtful, and excited.
1. And whether there are problems such as concealing emotions, so as to help users achieve a more real and natural effect in emotional communication;
2. In business negotiations, speech analysis technology is used to help users analyze the authenticity of what the other party is saying;
3. The emotional state of the other party so that you can better ensure your rights and interests during negotiations and achieve better negotiation results.