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pujariaditya/README.md

Aditya Pujari

I work on trustworthy audio — watermarking voices, tracing synthetic speech, and taking models apart from the inside (TTS internals, neural codecs). If an audio metric can be broken, I want to be the one who breaks it, then fixes it.

Research threads

  • AudioAuth — dual-watermarking framework: frequency-partitioned model + data watermarks for audio integrity and source attribution (IEEE TBIOM 2026)
  • WaveVerify — FiLM-generator + MoE-detector watermarking; zero BER under common distortions; beats AudioSeal and WavMark (IJCB 2025)
  • CoRA — codec-residual open-set source tracing of audio deepfakes (EnCodec residual + frozen WavLM-Large; FPR95 1.14% vs published 3.36%)
  • wavepainter — multimodal LLM-guided diffusion for text-based speech editing; substitution WER 3.48 vs prior best 4.41
  • cond-ID — speaker unlearning in zero-shot TTS via conditioning-space identity redirection (XTTS-v2, Tortoise-TTS, IndexTTS-1.5)
  • HiggsAudiov2TokenizerUnofficial — full PyTorch training pipeline for the Higgs Audio V2 tokenizer (HuBERT semantics + DAC + 8-layer RVQ, 960x downsampling)

Stack

Python · PyTorch · torchaudio · Hugging Face · speech encoders · neural audio codecs

Contact

Email: [email protected] GitHub: @pujariaditya

Pinned Loading

  1. wavepainter wavepainter Public

    wavepainter: multimodal LLM-guided diffusion for text-based speech editing — edit a word in the transcript and only that span of the spectrogram is re-predicted

    Python 1

  2. CoRA CoRA Public

    Codec-residual open-set source tracing for audio deepfakes

    Python 1

  3. cond-id-tts-unlearning cond-id-tts-unlearning Public

    cond-ID: conditioning-space identity redirection for speaker unlearning in zero-shot TTS — one speaker-conditioning edit across XTTS-v2, Tortoise-TTS and IndexTTS-1.5

    Python 1

  4. HiggsAudiov2TokenizerUnofficial HiggsAudiov2TokenizerUnofficial Public

    Unofficial PyTorch implementation of Higgs Audio V2 Tokenizer with HuBERT semantic features. Complete training pipeline for semantic-acoustic audio tokenization with 960x downsampling and 8-layer RVQ.

    Python 6 2

  5. AudioAuth AudioAuth Public

    A dual-watermarking framework for robust audio integrity verification and source attribution.

    Python 1