Method for conducting spoken language correction through speech recognition technology and language learning machine
A speech recognition and learning machine technology, applied in the field of language learning machines, can solve problems such as poor listening and speaking skills, and achieve the effect of improving listening skills and improving oral pronunciation
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Embodiment 1
[0027] Such as figure 1 Shown, a kind of method that applies speech recognition technology to carry out spoken language correction, the step of this method is:
[0028] Step 1: The user performs oral pronunciation into the microphone according to the source information;
[0029] Step 2: Recognize the spoken pronunciation of the user through speech recognition technology;
[0030] Step 3: The recognized spoken pronunciation information is displayed in text form;
[0031] Step 4: The user judges whether the spoken pronunciation is standard and accurate by comparing the recognized text with the source information. If the recognition result is inconsistent with the source information, correct the spoken pronunciation and repeat the above process. If they are consistent, proceed to the next cycle.
Embodiment 2
[0033] Such as figure 2 Shown, a kind of method that applies speech recognition technology to carry out spoken language correction, the step of this method is:
[0034] Step 1: Perform standard pronunciation through voice playback.
[0035] Step 2: The user performs oral pronunciation into the microphone according to the source information;
[0036] Step 3: Recognize the spoken pronunciation of the user through speech recognition technology;
[0037] Step 4: The recognized spoken pronunciation information is displayed in text form;
[0038] Step 5: The user judges whether the spoken pronunciation is standard and accurate by comparing the recognized text with the source information. If the recognition result is inconsistent with the source information, correct the spoken pronunciation and repeat the above process. If they are consistent, proceed to the next cycle.
Embodiment 3
[0040] Such as image 3 As shown, the language learning machine includes a housing 1, a power supply 2, a microphone 3, a loudspeaker 4, an audio input and output module 5, a voice recognition module 6, a central processing unit 7, a display module 8 and a storage unit 9, and the audio input and output module 5 and Speech recognition module 6 and central processing unit 7 are connected, and speech recognition module 6, storage unit 9, display module 8 are connected with central processing unit 7 respectively, and storage unit 9 is stored with speech recognition database, and speech recognition module 6 transfers speech recognition database to audio The voice signal that input-output module 5 inputs is analyzed, processed, and the data that has been processed is transmitted to central processing unit 7, and central processing unit 7 transmits the data transmitted by voice recognition module 6 to display module 8 by display module 8 in image form output.
[0041] The display mo...
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