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In recent years, conversations have moved to digital platforms. Online meetings, call centers and instant messaging platforms generate a tremendous amount of data every day. UpKeep predicts that 175 ZB of new data will be generated by 2025, and more than 80% of it will be unstructured such as audio and video. Despite the opportunities this large amount of voice data can offer, most enterprises cannot use it due to the affordability, accuracy and latency limitations of current automatic speech recognition (ASR) solutions. Inherent cloud costs can be a show-stopper even for large enterprises considering the millions of hours of audio data. However, enterprises are no longer limited to cloud APIs to build speech analytics and conversation intelligence solutions!
Enterprises no longer need to bear cloud-related costs by bringing voice recognition close to data with Picovoice’s unprecedented technology. Transcribe and index your audio and video archive or convert voice data to text in real-time without worrying about hefty bills.
Accuracy is the first criterion for most enterprises. That is why every voice vendor claims they have the best. However, accuracy depends on many factors and is best measured in the target environment and user data. Picovoice publishes open-source benchmarks to communicate its accuracy and help prospects make data-driven decisions.
Every business is unique, hence its analytics and intelligence requirements. Picovoice, the end-to-end voice AI platform, has a solution for any voice recognition needs. It could be a real-time transcription with zero latency, custom speech-to-text models with specific terminology, keyword recognition without recording conversations or a voice search for proper names.