Integrate Speaker Diarization with OpenAI Whisper (Full Transcript)
Speaker 1: Hi guys, today I'm going to show you how to add speaker diarization to OpenAI Whisper using PicoVoice Falcon. You haven't already downloaded Python, grab your access key and grab a sample audio wave. You're going to want to create a whispers.py python file and let's start with the code. Import the necessary files, load the whisper model and transcribe the audio file, initialize Falcon and process the audio file for speaker diarization, and add a function to calculate the overlap score. Finally match the transcript segments with speaker segments. Now you're going to want to install the necessary packages. Using pip you want to install OpenAI Whisper as well as the pv falcon. Finally just run using python3 whispers.py and you should be able to see a transcript as well as the differentiated speakers. Visit picovoice.ai for more tutorials and start building today.
Generate a brief summary highlighting the main points of the transcript.
GenerateGenerate a concise and relevant title for the transcript based on the main themes and content discussed.
GenerateIdentify and highlight the key words or phrases most relevant to the content of the transcript.
GenerateExtract key takeaways from the content of the transcript.
GenerateAnalyze the emotional tone of the transcript to determine whether the sentiment is positive, negative, or neutral.
Generate