Vocos
An efficient vocoder based on a convolutional neural network that rapidly converts mel spectrograms into high-quality audio waveforms. It is commonly used in speech synthesis tasks.
Timeline (last 90 days)
SteerTTS-edge's vocoder is a 6.2-million-parameter Vocos-style model distilled from charactr/vocos-mel-24khz, also using int4 QAT.
SteerTTS edge's vocoder is a 6.2M-parameter Vocos-style model distilled from charactr/vocos-mel-24khz and subjected to int4 QAT.
SteerTTS is a TTS model project with only 23M parameters (including a frozen Vocos vocoder), released by a Reddit user.
SteerTTS adopts FastPitch-style explicit variance modeling: phonemes first pass through an encoder, three predictors for duration, pitch and energy each output control quantities, which are then aligned via a length regulator and finally decoded into 100-band log-mel spectra, handed to a frozen Vocos vocoder for waveform synthesis.
SteerTTS has 9.6M parameters in total for the acoustic part plus a 13.5M Vocos vocoder, with the refiner adding an extra 17.6M.
All Facts (5)
SteerTTS edge's vocoder is a 6.2M-parameter Vocos-style model distilled from charactr/vocos-mel-24khz and subjected to int4 QAT.
50%UnverifiedSteerTTS-edge's vocoder is a 6.2-million-parameter Vocos-style model distilled from charactr/vocos-mel-24khz, also using int4 QAT.
50%UnverifiedSteerTTS is a TTS model project with only 23M parameters (including a frozen Vocos vocoder), released by a Reddit user.
50%UnverifiedSteerTTS adopts FastPitch-style explicit variance modeling: phonemes first pass through an encoder, three predictors for duration, pitch and energy each output control quantities, which are then aligned via a length regulator and finally decoded into 100-band log-mel spectra, handed to a frozen Vocos vocoder for waveform synthesis.
50%UnverifiedSteerTTS has 9.6M parameters in total for the acoustic part plus a 13.5M Vocos vocoder, with the refiner adding an extra 17.6M.
50%