Moshi is the first real-time full-duplex spoken large language model that casts dialogue as speech-to-speech generation using parallel audio streams and an inner monologue of time-aligned text tokens.
Semanticodec: An ultra low bitrate semantic audio codec for general sound
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
LATTE creates a compact latent token bottleneck in audio tokenizers that aggregates global information and enables unsupervised editing of attributes like speaker identity via token swapping.
Q2D2 uses 2D geometric grid projections to quantize feature pairs in neural audio codecs, yielding implicit codebooks that improve efficiency and utilization over RVQ, VQ, and FSQ while maintaining reconstruction quality.
AugCodec disentangles speech into semantic, speaker, and prosody tokens via tailored data augmentations, achieving 12.5 Hz operation with three streams and outperforming prior codecs on LibriSpeech reconstruction and disentanglement metrics.
citing papers explorer
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Moshi: a speech-text foundation model for real-time dialogue
Moshi is the first real-time full-duplex spoken large language model that casts dialogue as speech-to-speech generation using parallel audio streams and an inner monologue of time-aligned text tokens.
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Exploring Token-Space Manipulation in Latent Audio Tokenizers
LATTE creates a compact latent token bottleneck in audio tokenizers that aggregates global information and enables unsupervised editing of attributes like speaker identity via token swapping.
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Two-Dimensional Quantization for Geometry-Aware Audio Coding
Q2D2 uses 2D geometric grid projections to quantize feature pairs in neural audio codecs, yielding implicit codebooks that improve efficiency and utilization over RVQ, VQ, and FSQ while maintaining reconstruction quality.
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AugCodec: A Low-Bitrate Disentangled Neural Speech Codec via Data Augmentation
AugCodec disentangles speech into semantic, speaker, and prosody tokens via tailored data augmentations, achieving 12.5 Hz operation with three streams and outperforming prior codecs on LibriSpeech reconstruction and disentanglement metrics.