Philip Kiely, Head of Developer Relations at Baseten, dives into the world of AI transcription and its game-changing potential for enterprises. He highlights the cost reductions and efficiency gains with AI tools like the Whisper model. Kiely discusses how AI can transform audio into actionable insights while also stressing the importance of human verification for accuracy. The conversation also touches on the future of voice technology and invites creative thinking about innovative applications of transcription in business settings.
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insights INSIGHT
Transcription Benefits
Transcribing audio data unlocks valuable insights and searchability.
It converts low-bandwidth audio into easily processed text data for both humans and machines.
question_answer ANECDOTE
Manual Transcription Woes
Philip Kiely had to manually transcribe interviews for a book due to the poor quality of existing transcription technology.
Whisper's 2022 release was a game-changer with its high accuracy and multilingual capabilities.
insights INSIGHT
Whisper's Speed Advancements
Whisper's speed improvements enable near-instant transcription, achieving real-time factors of up to 1000x.
This allows for processing an hour of audio in mere seconds.
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Meetings. Speeches. Quick thoughts to self. Those words are more than words. That's your company's secret sauce. Philip Kiely, Head of Developer Relations at Baseten, joins us to discuss.
Topics Covered in This Episode: 1. AI Transcription Benefits 2. Whisper Model by OpenAI 3. Cost of Transcription 4. Business Applications for AI Transcription
Timestamps: 00:00 Conversations are gold; AI makes them valuable. 03:56 NVIDIA advances exceed Moore's Law; Apple's AI inaccurate. 09:48 Text transcription technology error-prone; manual transcription necessary. 11:19 Whisper V3: Low error rate, multilingual accuracy. 14:58 Whisper rapidly transcribes audio with high efficiency. 17:26 Emotion inflection crucial for text-to-speech synthesis. 23:58 AI transcriptions need human verification for accuracy. 25:35 Chain cheap AI models for efficient calls. 30:53 On-device AI less powerful than cloud AI. 33:07 Build prototypes now; technology improving rapidly.
Keywords: Whisper by OpenAI, Automatic Speech Recognition, Open-source ASR, Accuracy, Multilingual ASR, MIT licensed, Amazon Transcribe, Whisper V3 Turbo, Live transcription, Speech inflection, ChatGPT, Philip Kiely, Jordan Wilson, Everyday AI podcast, Unstructured data, Anthropic funding, NVIDIA AI advancements, Apple AI alerts, AI transcription, Base 10, Searchable data, AI infrastructure platform, AI cost efficiency, Wearable technology, Voice control, On-device inference, Cloud inference, Speech synthesis, Business applications of transcription, Future of work
Everyday AI Podcast – An AI and ChatGPT Podcast