Systems and methods for expressive language, developmental disorder, and emotion assessment, and contextual feedback
In some embodiments, a method that includes capturing sound in a natural language environment using at least one sound capture device that is located in the natural language environment. The method also can include analyzing a sound signal from the sound captured by the at least one sound capture device to determine at least one characteristic of the sound signal. The method additionally can include reporting metrics that quantify the at least one characteristic of the sound signal. The metrics of the at least one characteristic can include a quantity of words spoken by one or more first persons in the natural language environment. Other embodiments are provided.
1. A system comprising:
a sound capture component configured to capture sounds produced by one or more first persons and a plurality of other sound sources in a natural language environment, wherein the plurality of other sound sources includes people other than the one or more first persons;
a sound processor coupled to the sound capture component and configured to analyze a sound signal from the sound capture component and identify characteristics from the sound signal; and
a reporting component configured to be in data communication with the sound processor and configured to report metrics that quantify the characteristics of the sound signal,
wherein:
the metrics of the characteristics comprise a quantity of words spoken by the one or more first persons in the natural language environment.
2. The system of claim 1 , wherein the sound capture component is located proximate to a key child who is different from the one or more first persons.
3. The system of claim 1 , wherein the sound capture component and the sound processor are integrated as a single device.
4. The system of claim 1 , wherein the reporting component logs metrics for review at a time after the sound is captured.
5. The system of claim 1 , wherein each of the one or more first persons is an adult.
6. The system of claim 5 , wherein the sound capture component is located proximate to a key child who is different from the one or more first persons.
7. The system of claim 1 , wherein the metrics of the characteristics comprise a frequency of conversational turn-taking.
8. The system of claim 1 , wherein the metrics of the characteristics comprise a duration of conversational turn-taking.
9. A method comprising:
capturing sound in a natural language environment using at least one sound capture device that is located in the natural language environment;
analyzing a sound signal from the sound captured by the at least one sound capture device to determine at least one characteristic of the sound signal; and
reporting metrics that quantify the at least one characteristic of the sound signal,
wherein:
the metrics of the at least one characteristic comprise a quantity of words spoken by one or more first persons in the natural language environment.
10. The method of claim 9 , wherein the at least one sound capture device is located proximate to a key child who is different from the one or more first persons.
11. The method of claim 9 , wherein each of the one or more first persons is an adult.
12. The method of claim 9 further comprising logging the metrics in a log for subsequent analysis and presentation to a user.
13. The method of claim 11 , wherein the at least one sound capture device is located proximate to a key child who is different from the one or more first persons.
14. The method of claim 9 , wherein the at least one sound capture device is integrated as a single device with a sound processor that analyzes the sound signal to determine the at least one characteristic of the sound signal.
15. The method of claim 9 , wherein the metrics of the at least one characteristic comprise a frequency of conversational turn-taking.
16. The method of claim 9 , wherein the metrics of the at least one characteristic comprise a duration of conversational turn-taking.