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Models/SC-WaveRNN

SC-WaveRNN

Reported on 15 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio15 results

  • Speech RecognitiononLibriTTS
    M-STFT· 2020-08-09
    2.2358
    SOTA
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech RecognitiononLibriTTS
    Periodicity· 2020-08-09
    0.3044
    SOTA
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech SynthesisonLibriTTS
    M-STFT· 2020-08-09
    2.2358
    SOTA
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech SynthesisonLibriTTS
    Periodicity· 2020-08-09
    0.3044
    SOTA
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Accented Speech RecognitiononLibriTTS
    M-STFT· 2020-08-09
    2.2358
    SOTA
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Accented Speech RecognitiononLibriTTS
    Periodicity· 2020-08-09
    0.3044
    SOTA
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech RecognitiononLibriTTS
    MCD· 2020-08-09
    1.8854
    best: 2.3591 (WaveGlow)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech RecognitiononLibriTTS
    PESQ· 2020-08-09
    1.701
    best: 4.454 (PeriodWave-Turbo-L)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech RecognitiononLibriTTS
    V/UV F1· 2020-08-09
    0.8144
    best: 0.9793 (BigVGAN-v2)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech SynthesisonLibriTTS
    MCD· 2020-08-09
    1.8854
    best: 2.3591 (WaveGlow)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech SynthesisonLibriTTS
    PESQ· 2020-08-09
    1.701
    best: 4.454 (PeriodWave-Turbo-L)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Speech SynthesisonLibriTTS
    V/UV F1· 2020-08-09
    0.8144
    best: 0.9793 (BigVGAN-v2)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Accented Speech RecognitiononLibriTTS
    MCD· 2020-08-09
    1.8854
    best: 2.3591 (WaveGlow)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Accented Speech RecognitiononLibriTTS
    PESQ· 2020-08-09
    1.701
    best: 4.454 (PeriodWave-Turbo-L)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289
  • Accented Speech RecognitiononLibriTTS
    V/UV F1· 2020-08-09
    0.8144
    best: 0.9793 (BigVGAN-v2)
    Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsarXiv:2008.05289