# General Audio Processing Flow

1. **Initialization**: The `AudioReportService` starts with parameters    such as the audio file path, user email, number of speakers, organization name, and whether the number of speakers is known.<br>
2. **Audio Preprocessing**:
   * **Convert to WAV Mono**: Convert the audio file to WAV format with a single audio channel.
   * **Measure Noise**: Measure the background noise level in the audio file.
   * **Noise Reduction**: Reduce background noise in the audio file.<br>
3. **Speaker Diarization and Processing**:
   * **Diarize Speakers**: Identify and segment different speakers in the audio file.
   * **Fix Speaker Names**: Standardize speaker names in the diarization output.
   * **Merge Short Files**: Merge short audio segments if necessary.
   * **Split Audio**: Split the audio file based on timestamps from the diarization output.<br>
4. **Quality Adjustments**:
   * **Adjust Decibels**: Normalize audio volume levels across segments.
   * **Speaker Matching**: Match speakers within the meeting.
   * **Speaker Tracking**: Track speakers across multiple meetings.<br>
5. **Speech Analysis**:
   * **Speech-to-Text**: Convert speech segments to text.
   * **Emotion Detection**: Detect emotions in the audio segments.
   * **Music Detection**: Identify segments containing music.
   * **Microphone Quality**: Assess the quality of the microphone used.
   * **Reverb Detection**: Detect reverb in the audio segments.
   * **Lag Detection**: Identify any lag in the speaker's audio.<br>
6. **Data Aggregation and Database Insertion**:
   * **Speaker Statistics**: Calculate statistics for each speaker.
   * **Insert Data**: Insert processed data into the database.
   * **Auto-Rename Speakers**: Automatically rename speakers based on detected names.
   * **Merge Fragments**: Merge audio fragments into cohesive statements.
   * **Punctuate Statements**: Apply punctuation and capitalization to statements.
   * **Split Statements**: Split statements into individual sentences.
   * **Text Emotions**: Detect emotions in the text of the statements.
   * **Generate Final Emotions**: Map text emotions to speech emotions.
   * **Toxicity Detection**: Detect toxic language in the transcriptions.
   * **Offensive Language Detection**: Identify offensive language in the transcriptions.<br>
7. **Report Generation and Delivery**:
   * **Generate Report Data**: Compile data for the final report.
   * **Convert to JSON**: Format the report data as JSON.
   * **Send Report**: Send the report via email or API, depending on the request source.