![]() Its batch transcription functionality is used in this solution. An AI-based API that provides speech capabilities like speech-to-text, text-to-speech, speech translation, and speaker recognition. Azure Cognitive Services Speech service.In this solution, it integrates storage and speech AI services. An integration platform as a service (iPaaS) that's built on a containerized runtime. In this solution, it stores the audio files and transcription results and serves as a data lake for downstream analytics. Massively scalable and secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning. The processed data is stored in an Azure Synapse Analytics SQL pool, where it can be served to visualization tools like Power BI.The service performs various natural language processing (NLP) enrichments, like sentiment and opinion mining, summarization, and custom and pre-built named entity recognition. The pipeline sends processed text via an API call to the Language service.An Azure Synapse Analytics pipeline runs to retrieve and process the transcribed audio text.The Speech service completes the batch transcription and loads the transcription results to the Storage account.The logic app submits the audio files call to the Speech service, including optional settings for speaker diarization.The logic app accesses any necessary credentials in Azure Key Vault and makes a request to the Speech service's batch transcription API. The upload to Azure Storage triggers an Azure logic app.You can use a UI-based tool like Azure Storage Explorer or use a storage SDK or API. Audio files are uploaded to an Azure Storage account via any supported method.Transcription pipelineÄownload a Visio file of this architecture. The architecture consists of two pipelines: A transcription pipeline to convert audio to text, and an enrichment and visualization pipeline. The example solution described in this article outlines a repeatable pipeline for transcribing and analyzing conversation data. Speech recognition and analysis of recorded customer calls can provide your business with valuable information about current trends, product shortcomings, and successes.
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