Unverified60% confidenceFactExact time
If the input is audio, the Vision Encoder can be replaced with a Speech Encoder to encode and align the data before passing it to the large language model.
2
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60%
Confidence
Long-term
Relevance
9/11/2026
First Seen
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Related Claims
VerifiedNeural audio codecs such as EnCodec and DAC compress continuous audio into discrete token sequences, enabling speech to be directly processed by autoregressive language models just like text tokens.80% similarUnverifiedQwen's visual large model is primarily based on a language large model preceded by a Vision Encoder, while its model for processing speech is preceded by a Speech Encoder, with the vision and language models remaining relatively separate.77% similarVerifiedWhisper's architecture adopts an encoder-decoder structure, where the encoder transforms the mel spectrogram of audio into high-dimensional feature representations, and the decoder generates text output word by word in an autoregressive manner.74% similarUnverifiedThe text encoder is responsible for converting natural language prompts into high-dimensional embedding vectors for use by the diffusion model's denoising process74% similarUnverifiedThe capability boundary of coding agents is expanding from generating code to verifying multimodal output, and audio is the next perception gap after vision.71% similar
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