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Vocos

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Headlines · 2

  1. SteerTTS Edge packs steerable English TTS into 11.84 MB

    Developer /u/Working_Hat5120 released SteerTTS Edge, an 11.84 MB application payload containing model weights, voices, text front end, and Python runtime. Its 9.25M-parameter acoustic model and 6.2M-parameter Vocos-style vocoder use int4 quantization-aware training, while the text front end relies only on NumPy at runtime. The developer reports unchanged Seed-TTS WER at 0.96%, an approximately 0.1 UTMOS decline to 4.11, and at least 95% of each fp32 control’s effect across 12 steering controls in local Open TTS Leaderboard-protocol testing that was not officially submitted.

    r/MachineLearning · 🔥 0
  2. SteerTTS: a 23M-parameter English TTS steered by numeric controls

    Developer WhissleAI posted SteerTTS on r/MachineLearning, a 23M-parameter English TTS system combining a 9.6M-parameter acoustic model with a Vocos vocoder and 12 numeric z-score controls for rate, loudness, pitch and related attributes. The post reports RTFx of about 60–80 on an RTX 5070 and 4–8 on CPU, plus 2,825 built-in voices, 51 style tags and sentence-level streaming. The developer also notes weak pause and voicing controls, limited emotion-tag separation, low cloning similarity and no human evaluations yet; weights are CC BY-NC 4.0 and code is MIT.

    r/MachineLearning · 🔥 0

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