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Replace LONG_SPEAKER_ID with SPEAKER_ID #325

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Parent: Update SPEAKER_ID logic, remove LONG_SPEAKER_ID (#321)
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Replace LONG_SPEAKER_ID with SPEAKER_ID #325

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3 changes: 1 addition & 2 deletions python/AzureSpeechDetection/README.md
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Expand Up @@ -36,8 +36,7 @@ Returned `AudioTrack` objects have the following members in their `detection_pro

| Property Key | Description |
|--------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `LONG_SPEAKER_ID` | A unique speaker identifier, of the form "`<start_offset>-<stop_offset>-<#>`, where `<start_offset>` and `<stop_offset>` are integers indicating the segment range (in frame counts for video jobs, milliseconds for audio jobs) for sub-jobs when a job has been segmented by the Workflow Manager. The final `#` portion of the ID is a 1-indexed counter for speaker identity within the indicated segment range. When jobs are not segmented, or not submitted through the Workflow Manager at all, `stop_offset` may instead be `EOF`, indicating that the job extends to the end of the file. |
| `SPEAKER_ID` | A dummy field set to "0". |
| `SPEAKER_ID` | A unique speaker identifier, of the form "`<start_offset>-<stop_offset>-<#>`, where `<start_offset>` and `<stop_offset>` are integers indicating the segment range (in frame counts for video jobs, milliseconds for audio jobs) for sub-jobs when a job has been segmented by the Workflow Manager. The final `#` portion of the ID is a 1-indexed counter for speaker identity within the indicated segment range. When jobs are not segmented, or not submitted through the Workflow Manager at all, `stop_offset` may instead be `EOF`, indicating that the job extends to the end of the file. |
| `GENDER` | Only present if supplied by an upstream component. The gender of the speaker. |
| `GENDER_CONFIDENCE` | Only present if supplied by an upstream component. The confidence of the gender classification. |
| `TRANSCRIPT` | The text of the utterance transcript. Words are space-separated. |
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5 changes: 0 additions & 5 deletions python/AzureSpeechDetection/acs_speech_component/acs_speech_component.py
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Expand Up @@ -70,11 +70,6 @@ def get_detections_from_job(
logger.exception(f'Exception raised while processing audio: {e}')
raise

# Remove this block to drop LONG_SPEAKER_ID
for track in audio_tracks:
track.detection_properties['LONG_SPEAKER_ID'] = track.detection_properties['SPEAKER_ID']
track.detection_properties['SPEAKER_ID'] = '0'

logger.info('Processing complete. Found %d tracks.' % len(audio_tracks))
return audio_tracks

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2 changes: 1 addition & 1 deletion python/AzureSpeechDetection/tests/test_acs_speech.py
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Expand Up @@ -184,7 +184,7 @@ def test_diarization(self):
# There should be two speakers with diarization, one without
len_raw, len_dia = [
len(set([
track.detection_properties['LONG_SPEAKER_ID']
track.detection_properties['SPEAKER_ID']
for track in result
]))
for result in results
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