Voice AI
Voice AI uses speech recognition and natural language processing to enable human-like interactions with technology. We cover speech-to-text software, including benchmarks of leading tools, and explore the latest applications in the field.
Speech Recognition: 12 Use Cases & Examples
Voice AIInsightSep 2Businesses generate large volumes of voice data from calls, meetings, and voice interfaces, but manually processing this data is slow and difficult to scale. Speech recognition (also called automatic speech recognition or speech-to-text) converts spoken language into text, enabling systems to analyze and automate voice-based workflows such as call transcription, voice assistants, and meeting summaries.…
- Voice AIBenchmarkAug 21
Speech-to-Text Benchmark: Deepgram vs. Whisper
We benchmarked the leading speech-to-text (STT) providers, focusing specifically on healthcare applications. Our benchmark used real-world examples to assess transcription accuracy in medical contexts, where precision is crucial. Based on both word error rate (WER) and character error rate (CER) results, GPT-4o-transcribe demonstrates the highest transcription accuracy among all evaluated speech-to-text systems. Deepgram Nova-v3 and…
- Voice AIInsightAug 21
Top 10 Voice Recognition Tool & Applications
If you’ve used virtual assistants like Alexa, Cortana, or Siri, you’re likely familiar with speech recognition and conversational AI. This technology enables users to interact with devices through verbal commands by converting spoken queries into machine-readable text. Explore the top 10 uses of voice recognition technology in voice search, customer service, healthcare, and other areas.…