INTELLIGENT TRANSCRIPTION AND BIOMARKER ANALYSIS
Approaches for transcribing, translating, reviewing, tagging, and providing analytics for therapist sessions are provided. A media file that captures one or more interactions between one or more providers and a recipient of a service may be obtained. A transcript of at least a portion of the one or more interactions captured in the audio file may be generated. Using machine learning, a plurality of analytics may be inferred based, at least in part, upon content contained in the transcript. One or more biomarkers for the recipient may be determined based, at least in part, upon the plurality of analytics. A predicted response to the service to provide for display may be generated based, at least in part, upon the one or more biomarkers and the plurality of analytics.
1 . A computer-implemented method, comprising:
obtaining an audio file that captures one or more interactions between one or more providers and a recipient of a service;
generating a transcript of at least a portion of the one or more interactions captured in the audio file;
inferring, using machine learning, a plurality of analytics based, at least in part, upon content contained in the transcript;
determining one or more biomarkers for the recipient based, at least in part, upon the plurality of analytics; and
generating a predicted response to the service to provide for display based, at least in part, upon the one or more biomarkers and the plurality of analytics.
2 . The computer-implemented method of claim 1 , wherein the recording is transcribed using Natural Language Processing (NLP).
3 . The computer-implemented method of claim 1 , further comprising:
detecting that the transcript contains an error;
providing an indication of the error; and
suggesting one or more corrections to the error.
4 . The computer-implemented method of claim 1 , further comprising:
analyzing one or more utterances present in the transcript;
generating one or more tags associated with the one or more utterances; and
inferring the plurality of analytics based, at least in part, upon the generated tags.
5 . The computer-implemented method of claim 1 , wherein the one or more biomarkers are determined based, at least in part, upon at least one of: detected sentiment, a detected pitch, a detected frequency, determined words per minute, detected pauses, and a duration of pauses in the audio file.
6 . The computer-implemented method of claim 1 , further comprising:
assigning one or more labels to the audio file based, at least in part, upon audio cues detected in the audio file.
7 . A system comprising:
at least one processor; and
at least one memory, storing instructions that, when executed by the at least one processor, cause the at least one processor to:
obtain a media file that captures one or more interactions between one or more providers and a recipient of a service;
generating a transcript of at least a portion of the one or more interactions captured in the media file;
infer, using machine learning, a plurality of analytics based, at least in part, upon content contained in the transcript;
determine one or more biomarkers for the recipient based, at least in part, upon the plurality of analytics; and
generate a predicted response to the service to provide for display based, at least in part, upon the one or more biomarkers and the plurality of analytics.
8 . The system of claim 7 , wherein the instructions that, when executed by the at least one processor, cause the at least one processor to further:
detect that the transcript contains an error;
provide an indication of the error; and
suggest one or more corrections to the error.
9 . The system of claim 7 , wherein the recording is transcribed using Natural Language Processing (NLP).
10 . The system of claim 7 , wherein the instructions that, when executed by the at least one processor, cause the at least one processor to further:
analyze one or more utterances present in the transcript;
generate one or more tags associated with the one or more utterances; and
infer the plurality of analytics based, at least in part, upon the generated tags.
11 . The system of claim 7 , wherein the one or more biomarkers are determined based, at least in part, upon at least one of: detected sentiment, a detected pitch, a detected frequency, determined words per minute, detected pauses, and a duration of pauses in the media file.
12 . The system of claim 7 , wherein the instructions that, when executed by the at least one processor, cause the at least one processor to further:
assign one or more labels to the media file based, at least in part, upon audio or visual cues detected in the media file.
13 . The system of claim 7 , wherein the media file is pre-processed prior to transcription to filter out unwanted noise from the media file.
14 . A non-transitory computer-readable medium, storing instructions that, when executed by at least one processor, cause the at least one processor to:
obtain a media file that captures one or more interactions between one or more providers and a recipient of a service;
generating a transcript of at least a portion of the one or more interactions captured in the media file;
infer, using machine learning, a plurality of analytics based, at least in part, upon content contained in the transcript;
determine one or more biomarkers for the recipient based, at least in part, upon the plurality of analytics; and
generate a predicted response to the service to provide for display based, at least in part, upon the one or more biomarkers and the plurality of analytics.
15 . The non-transitory computer-readable medium of claim 14 , wherein the instructions that, when executed by the at least one processor, cause the at least one processor to further:
detect that the transcript contains an error;
provide an indication of the error; and
suggest one or more corrections to the error.
16 . The non-transitory computer-readable medium of claim 14 , wherein the recording is transcribed using Natural Language Processing (NLP).
17 . The non-transitory computer-readable medium of claim 14 , wherein the instructions that, when executed by the at least one processor, cause the at least one processor to further:
analyze one or more utterances present in the transcript;
generate one or more tags associated with the one or more utterances; and
infer the plurality of analytics based, at least in part, upon the generated tags.
18 . The non-transitory computer-readable medium of claim 14 , wherein the one or more biomarkers are determined based, at least in part, upon at least one of: detected sentiment, a detected pitch, a detected frequency, determined words per minute, detected pauses, and a duration of pauses in the media file.
19 . The non-transitory computer-readable medium of claim 14 , wherein the instructions that, when executed by the at least one processor, cause the at least one processor to further:
assign one or more labels to the media file based, at least in part, upon audio or visual cues detected in the media file.
20 . The non-transitory computer-readable medium of claim 14 , wherein the media file is pre-processed prior to transcription to filter out unwanted noise from the media file.