Speech Analytics-Transcripts

Hello @ChambiarGirl,
Yes, Google offers a solution called the Google Cloud Speech-to-Text API that can transcribe speech into text. While the API itself does not provide built-in sentiment analysis or insights on the user's conversation, you can integrate it with other Google Cloud services to achieve the desired functionality.

To perform sentiment analysis on transcribed text, you can use the Google Cloud GenAi, VertextAi and Google Cloud Natural Language API. This API analyzes the sentiment of text and provides insights such as positive, negative, or neutral sentiment. You can extract sentiment information from the transcribed text and generate insights based on the user's conversation.

To identify stutters, "Uhm", or instances where the user seems unprepared, you can leverage various techniques such as text processing, pattern matching, or custom machine learning models. You can develop your own logic or use third-party libraries to identify and analyze these patterns within the transcribed text.

Once you have extracted sentiment analysis and insights from the transcribed text, you can generate a report summarizing the findings. You can use tools like Google Data Studio or other data visualization libraries to create graphs and visualizations based on the extracted data.

By combining the Google Cloud Speech-to-Text API, GenAi, VertextAi and Google Cloud Natural Language API, and custom logic for identifying speech patterns, you can build a comprehensive solution that performs speech analytics on transcribed text, provides sentiment analysis, generates reports, and visualizes data through graphs.

https://cloud.google.com/speech-to-text#all-features

https://cloud.google.com/speech-to-text/docs/transcribe-api

https://cloud.google.com/vertex-ai/docs/samples/aiplatform-predict-text-sentiment-analysis-sample

https://cloud.google.com/vertex-ai/docs/text-data/sentiment-analysis/train-model

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