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AI Scoring (AI-powered pronunciation assessment) is an application of artificial intelligence that combines various technologies to analyze and evaluate a learner's pronunciation. Here are some core technologies commonly used.

1. Automatic speech recognition (ASR)

Speech-to-text conversion: ASR transforms a user's spoken audio into written text, creating a transcript.

Phoneme analysis: ASR analyzes individual sounds and syllables in the transcript to compare them against a standard database.

2. Natural language processing (NLP)

Grammar analysis: NLP identifies grammatical errors in the user's speech.

Semantic analysis: NLP understands the meaning of the utterance, assessing the appropriateness of the context.

3. Machine learning

Predictive modeling: Machine learning algorithms are trained on a large dataset of standard pronunciations to predict a user's pronunciation ability.

Continuous optimization: Machine learning models are continuously improved based on new data, increasing the accuracy of assessment results.

4. Neural Networks

Pattern recognition: Neural networks can recognize complex patterns in audio, distinguishing between similar sounds.

Deep learning: Deep neural networks can learn complex features of speech, enabling more accurate assessments.

5. Other technologies

Signal processing: This technology filters out noise and enhances speech signals to improve input data quality.

Prosodic analysis: This technology assesses the stress, intonation, and rhythm of speech.

Comparison with a standard database: This database contains millions of standard pronunciations from native speakers, providing a benchmark for AI comparison.

6. How these technologies work together

Data collection: The user speaks into a microphone, and the audio is converted into a digital signal.

Signal processing: The signal is cleaned and normalized.

Speech recognition: The audio is converted into text.

Analysis: The text is analyzed for grammar, semantics, phonemes, and prosody.

Comparison: The analysis results are compared against the standard database.

Evaluation: The AI provides a score and feedback on the user's pronunciation.

AI Scoring is a complex technology that combines multiple elements to evaluate a learner's pronunciation. Thanks to advancements in speech recognition, natural language processing, machine learning, and neural networks, AI Scoring is becoming increasingly accurate and efficient.

Author: FTECH AI