Speech-To-Text & audio transcription: which solution to choose ?
Blog post from Eden AI
The article evaluates several pre-trained Speech-to-Text APIs, emphasizing their utility in various applications such as call centers, broadcasting, healthcare, and more. It highlights the functionalities of speech recognition, including speech-to-text, text-to-speech, speech analysis, diarization, and translation. The study tests six prominent providers—Google Cloud, AWS, Microsoft Azure, IBM Watson, Rev.ai, and Assembly AI—on three different audio use cases to assess their performance in transcribing speech accurately. The results reveal varying strengths and weaknesses in the APIs, with Rev.ai and Assembly AI showing strong performance in certain cases. The article also discusses the significant price differences among the providers, with Google and Rev.ai being the most expensive, while AWS and Microsoft offer mid-range pricing, and IBM and Assembly AI are the least expensive. It suggests using Eden AI to benchmark and integrate multiple API results efficiently, allowing for informed decision-making based on factors like performance, speed, and pricing.
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