Train keyword spotting in any language with @OpenAI Whisper synthetic data and deploy it to tiny (but powerful!) @arduino RP2040 Connect. FULL VIDEO ---> https://t.co/xCesLCK2N0 #tutorial #GenAI #OpenAI #Arduino #raspberrypi https://t.co/3zFBCc2NFw
Train keyword spotting in any language with @OpenAI Whisper synthetic data and deploy it to tiny (but powerful!) @arduino RP2040 Connect. #tutorial #GenAI #OpenAI #Arduino #raspberrypi https://t.co/xCesLCK2N0
Ever wanted to transcribe a speech in a hundred different languages, all while identifying the speaker and getting word-level timestamps? Well, buckle up, because Whisper Diarization is here to make your dreams come true! #Sentients #AI #Whisper #Transformers #Javascript #Browser… https://t.co/8LySJ2EsgE


Recent advancements in AI voice technology have been highlighted with the release of several innovative tools. The Distilled Voice Assistant (DiVA) has been introduced, which combines Whisper's speech understanding capabilities with Llama 3's instruction-following abilities. This model utilizes an end-to-end differentiable speech language model and improves generalization through distillation rather than supervised loss. Additionally, Whisper Diarization has been unveiled, enabling real-time transcription in multiple languages while identifying speakers and providing word-level timestamps. These tools leverage various AI technologies, including OpenAI's Whisper for speech-to-text functionalities and Meta's NLLB-200 for language translation, showcasing the growing integration of AI in real-time applications.