Attack-free WavLM detector ranks audio deepfakes but fails under shift
The best variant scores 8.45% EER on ASVspoof 2019 LA, then 22.12% EER on the 2021 DF shift.
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The best variant scores 8.45% EER on ASVspoof 2019 LA, then 22.12% EER on the 2021 DF shift.
The 13.7B–13.9B model makes 5.2–15 second video with stereo audio in 4–8 steps, under a restricted MiniMax license.
Averaging only two personalized audio copies produces tracing-failure rates of 87.7-99.7% while largely preserving audio quality.
A single 5B checkpoint is reported at 96.96 on OmniDocBench v1.6 and 75.08 average on OmniParsingBench.
Legacy-chain training plus angular diversity loss makes neural audio watermarks backward compatible.
The model separates vocals, bass, drums, and other in full-band stereo and is competitive on MUSDB18-HQ in objective and listening tests.
Dynamic Band Splitting adapts audio frequency bands, gaining 29% relative SI-SDR on DnR v2.
A 5.8M model timestamps 54 non-speech sounds and merges them into Whisper transcripts.

Microsoft says Windows 11 preview update KB5124010 crashes some games and apps that use AC-3 audio.
SheetSage2 transcribes coherent lead sheets using synthetic MIDI supervision and beats prior systems on most reported metrics.
arXiv paper shows linear STFT inputs beat harmonic constant-Q transform for vocal-ensemble multi-pitch estimation while cutting feature-extraction cost.
VoxMem finds no large audio language model exceeds 40% memory accuracy at 32K across 177 hours of speech.
AEGIS uses mid-layer risk signals to cut audio-model jailbreak unsafe rates from 17.9% to 0.4%.

Google released Gemini 3.8 Flash TTS and Flash-Lite TTS for expressive multilingual speech generation.
TeleAntiFraud 2.0 introduces a monthly refreshed audio benchmark with 900 Chinese calls for realistic telecom fraud detection evaluation.
FRAUDSkill adapts frozen audio-language models for telecom fraud detection via external skill programs, reaching 73.50% Macro-F1.
Community release ships a real-audio semantic tokenizer and NAR LoRA for YuE2-3B, enabling artist-style song generation and covers from user recordings.
Tri-PvP is a new benchmark revealing robust modality bias in omni-modal LLMs, with vision favoring perceptual signals and audio favoring propositional ones.
Researchers propose Self-Listening, a full-duplex speech approach feeding realized model speech back as input to improve interruption recovery.
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