System and method for assessing expressive language development of a key child
First Claim
1. A system for assessing expressive language development of a key child, comprising:
- one or more processors;
one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform;
processing an audio recording taken in a language environment of the key child to identify segments of the audio recording that correspond to vocalizations of the key child;
applying an adult automatic speech recognition phone decoder to the segments of the audio recording that correspond to the vocalizations of the key child to identify each occurrence of a plurality of phone categories in the segments and to determine a respective duration for each of the plurality of phone categories in the segments, wherein each of the plurality of phone categories corresponds to a respective pre-defined speech sound that is a smallest phonetic unit capable of conveying a distinction in meaning in a predetermined language, and wherein the plurality of phone categories are a first subset of the vocalizations of the key child; and
determining a duration distribution for the plurality of phone categories based on the respective durations for the plurality of phone categories; and
using the duration distribution for the plurality of phone categories in an age-based model to assess the expressive language development of the key child, wherein the age-based model is selected based on a chronological age of the key child, and the age-based model comprises a plurality of different weights associated with the plurality of phone categories.
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Abstract
A method of assessing expressive language development of a key child. The method can include processing an audio recording taken in a language environment of the key child to identify segments of the audio recording that correspond to vocalizations of the key child. The method also can include applying an adult automatic speech recognition phone decoder to the segments of the audio recordings to identify each occurrence of a plurality of phone categories and to determine a duration for each of the plurality of phone categories. The method additionally can include determining a duration distribution for the plurality of phone categories based on the durations for the plurality of phone categories. The method further can include using the duration distribution for the plurality of phone categories in an age-based model to assess the expressive language development of the key child. The age-based model is selected based on a chronological age of the key child and the age-based model includes a plurality of different weights associated with the plurality of phone categories. Other embodiments are described.
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Citations
20 Claims
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1. A system for assessing expressive language development of a key child, comprising:
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one or more processors; one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform; processing an audio recording taken in a language environment of the key child to identify segments of the audio recording that correspond to vocalizations of the key child; applying an adult automatic speech recognition phone decoder to the segments of the audio recording that correspond to the vocalizations of the key child to identify each occurrence of a plurality of phone categories in the segments and to determine a respective duration for each of the plurality of phone categories in the segments, wherein each of the plurality of phone categories corresponds to a respective pre-defined speech sound that is a smallest phonetic unit capable of conveying a distinction in meaning in a predetermined language, and wherein the plurality of phone categories are a first subset of the vocalizations of the key child; and determining a duration distribution for the plurality of phone categories based on the respective durations for the plurality of phone categories; and using the duration distribution for the plurality of phone categories in an age-based model to assess the expressive language development of the key child, wherein the age-based model is selected based on a chronological age of the key child, and the age-based model comprises a plurality of different weights associated with the plurality of phone categories. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of assessing expressive language development of a key child, comprising:
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processing an audio recording taken in a language environment of the key child to identify segments of the audio recording that correspond to vocalizations of the key child; applying an adult automatic speech recognition phone decoder to the segments of the audio recording to identify each occurrence of a plurality of phone categories in the segments and to determine a respective duration for each of the plurality of phone categories in the segments, wherein each of the plurality of phone categories corresponds to a respective pre-defined phoneme speech sound that is a smallest phonetic unit capable of conveying a distinction in meaning in a predetermined language, and wherein the plurality of phone categories are a first subset of the vocalizations of the key child; determining a duration distribution for the plurality of phone categories based on the respective durations for the plurality of phone categories; and using the duration distribution for the plurality of phone categories in an age-based model to assess the expressive language development of the key child, wherein the age-based model is selected based on a chronological age of the key child, and the age-based model comprises a plurality of different weights associated with the plurality of phone categories. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification