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京东 11.11 红包
深度篇:谷歌“万能”语音识别大模型USM全面碾压了OpenAI的Whisper模型
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Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages Abstract: We introduce the Universal Speech Model (USM), a single large model that performs automatic speech recognition (ASR) across 100+ languages. This is achieved by pre-training the encoder of the model on a large unlabeled multilingual dataset of 12 million (M) hours spanning over 300 languages, and fine-tuning on a smaller labeled dataset. We use multilingual pre-training with random-projection quantization and speech-text modality matching to achieve state-of-the-art performance on downstream multilingual ASR and speech-to-text translation tasks. We also demonstrate that despite using a labeled training set 1/7-th the size of that used for the Whisper model, our model exhibits comparable or better performance on both in-domain and out-of-domain speech recognition tasks across many languages. #google #usm #asr #openai #whisper #multimodal #multilingual #speech #seamlessm4t #voicebox == Olewave offers avant-garde bespoke solutions for proprietary data labeling, normalization, and transformation. Tired of inaccurate transcriptions and frustrating APIs? Olewave offers a superior solution with: • AI-powered Accuracy: Transcribe any audio, regardless of language, dialect, accent, or topic, with exceptional accuracy. We surpass the competition in understanding even the most challenging recordings. • Detailed Insights: • Privacy Guaranteed: • Competitive Pricing: Ready to experience the difference? Don't settle for mediocrity. Contact info@olewave.com and give us a try! Customized Large-Scale Datasets Olewave delivers customized, labeled, and validated large-scale real-world NLP/CV/speech/multimodal datasets of various scenarios such as dictation and conversation in multi accents/dialects/languages, and of diverse topics such as education, finance, legal, entertainment, healthcare, retail, and customer service.
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