Automatic Pronunciation Feedback

Click the mic and speak. The tool will evaluate how clear your speech sounds.

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Enhance your pronunciation practice with these complementary tools:

What automatic feedback measures

Browser-based pronunciation feedback generally works through speech recognition: your audio is converted to text and compared against the target. The tool is therefore measuring whether a recogniser trained largely on native speech produced the expected transcription — which correlates with sounding native but is not the same thing.

Detected reliablyDetected poorly
Substitutions that create a different real wordRhythm and timing
Missing or inserted syllablesIntonation and pitch range
Word stress on the wrong syllableSubtle vowel quality within the right category
Consistently omitted final consonantsAspiration and allophonic detail

Four rules for results worth acting on

  1. Test single words, not sentences. In a sentence the recogniser uses context to guess, which can hide a poor pronunciation entirely.
  2. Test minimal pairs. Whether the tool recognises ship matters far less than whether it distinguishes ship from sheep. If both return the same word, you have located a real merger.
  3. Repeat each item five times. Recognition is probabilistic; four failures out of five is a finding, one is noise.
  4. Keep conditions constant. Quiet room, about 20 cm from the microphone, slightly off-axis to avoid plosive bursts, and the same device each time.

Diagnosing a low score

Work through the alternatives in order before concluding your pronunciation is at fault: a recording problem such as background noise or microphone distance; an accent-setting mismatch, since a tool configured for British English will penalise consistent American pronunciations; an unusually slow speaking rate, which recognisers handle worse than normal tempo; and only then a genuine error.

Then read the pattern rather than the score. If ship, bit, fill and live fail while sheep, beat, feel and leave pass, that is one merged vowel contrast, not four separate problems. Failures concentrated in long words point to word stress. Scattered failures with no pattern usually mean a recording or configuration problem.

Where it fits in a practice routine

The value of automated feedback is volume. Making a new articulation automatic takes hundreds to thousands of correct repetitions, and a weekly lesson supplies perhaps twenty. An automated tool will let you attempt the same word forty times without impatience, which is a different job from diagnosis rather than a replacement for it.

Pair it with monthly self-recordings of a fixed passage, reviewed specifically for rhythm and pitch, to cover the prosodic features recognition cannot assess.