Digital speech learning systems, devices, and methods

A computer-implemented method for digital speech learning by a user, comprising:

• receiving a recording, via a network to a client device, said client device comprising a processor and a display, wherein the recording comprises an audio input of the user speaking a content;
• analyzing said audio input, using the processor, wherein said analyzing comprises:
• processing the recording using a Language Recognition and Response System (LRRS), said processing comprises:
• transcribing the audio input to text, wherein said transcribed text comprises correct language text and one or more language mistakes;
• identifying the correct language text and the one or more language mistakes in said audio input to yield language practice results;
• and
• processing the audio input using an Emotion System, wherein said processing comprises:
• analyzing the audio input to identify and measure Long-Term Potentiation (LTP) level of the user by correlating vocal parameters extracted from the audio input to the emotional state of said user, at the time of speaking the content, in relation to said content;
• displaying on said display said transcribed text;
• measuring if said LTP level and the number of language mistakes are above or equal a predefined threshold and if said LTP level and the number of mistakes are below said threshold then:
• providing a feedback to the user to repeat recording the content;
• and
• repeating and analyzing the recorded content until the LTP level and number of mistakes are above the predefined threshold.

A system for digital speech learning by a user, comprising:

• a storage subsystem configured and enabled to store content;
• a client device comprising a microphone configured and enabled to record the user speaking said content and to yield a recording comprising audio input of said content;
• and
• a processor, said processor comprises:
• a Language Recognition and Response System (LRRS), configured and enabled to:
• transcribe the audio input to text, wherein said transcribed text comprises correct language text and one or more language mistakes;
• identify the correct language text and the one or more language mistakes in said audio input;
• and
• an emotion system configured and enabled to:
• analyze the audio input to identify and measure Long-Term Potentiation (LTP) level of the user by correlating vocal parameters extracted from the audio input to the emotional state of said user at the time of said recording and in relation to said content being recorded;
• and
• wherein said processor is configured to:
• measure if said LTP level and the number of language mistakes are below a threshold and if the affirmative then:
• provide feedback to the user to repeat recording the content;
• and
• repeat and analyze the recorded content until the LTP level and number of mistakes are above the predefined threshold.