Assessing reading ability through grapheme-phoneme correspondence analysis

A method of providing a technical solution to the technical problem of providing granular assessment of grapheme-phoneme correspondence (GPC) correctness, when assessing reading ability, by comparing phonemes of a spoken word to phonemes corresponding to the graphemes of a displayed target word, implemented by a computing device, the method comprising:

• in a database, storing a plurality of target words for decoding by a student;
• for each target word, storing at least one ordered set of grapheme-phoneme correspondences (GPCs) that fully describe such word;
• designating a particular target word, of the plurality of target words, for display to a student in conjunction with a prompt for the student to decode and speak the designated target word;
• obtaining audio corresponding to a spoken word, the spoken word representing a student's attempt to decode and speak the designated target word correctly;
• via a specialized speech-to-text engine, converting audio corresponding to the spoken word into a corresponding ordered set of spoken phonemes;
• analyzing correctness of the phonemes of the spoken word relative to the phonemes corresponding to the graphemes of the designated target word, the analyzing comprising:
• attempting to locate, in the obtained audio, each of the phonemes from the ordered set of grapheme-phoneme correspondences (GPCs) describing the designated target word;
• determining whether or not the ordered set of spoken phonemes comprises a same number of phonemes as in the ordered set of GPCs;
• and
• comparing the order of the ordered set of spoken phonemes against the order of the ordered set of GPCs;
• and
• generating a report, based on the analyzing, that identifies at least one of the GPCs in the ordered set of GPCs as having been incorrectly applied in decoding the designated target word.

A method of providing a technical solution to the technical problem of providing granular assessment of grapheme-phoneme correspondence (GPC) correctness, when assessing reading ability, by comparing phonemes of a spoken word to phonemes corresponding to the graphemes of a displayed target word, implemented by a computing device, the method comprising:

• in a database, storing a plurality of target words for decoding by a student;
• in the database, storing at least one ordered set of grapheme-phoneme correspondences (GPCs) that fully describe such word;
• displaying a particular target word, of the plurality of target words, to a student in conjunction with a prompt for the student to decode and speak the designated target word;
• obtaining audio corresponding to a spoken word, the spoken word representing a student's attempt to decode and speak the designated target word correctly;
• via a specialized speech-to-text engine, converting the audio corresponding to the spoken word into a corresponding ordered set of spoken phonemes;
• analyzing correctness of the phonemes of the spoken word relative to the phonemes corresponding to the graphemes of the designated target word, the analyzing comprising:
• attempting to locate 1) each of the spoken phonemes, from the obtained audio, in the ordered set of grapheme-phoneme correspondences (GPCs) describing the designated target word, 2) in the obtained audio, each of the phonemes from the ordered set of grapheme-phoneme correspondences (GPCs) describing the designated target word, or 3) both;
• determining whether or not the ordered set of spoken phonemes comprises a same number of phonemes as in the ordered set of GPCs;
• and
• comparing the order of the ordered set of spoken phonemes against the order of the ordered set of GPCs;
• and
• generating a report, based on the analyzing, that identifies at least one of the GPCs in the ordered set of GPCs as having been incorrectly applied in decoding the designated target word.