WhissleAI

Headlines · 2

1. 2d
   Developer presents Arc-Transcriber streaming speech model

   WhissleAI developer Working_Hat5120 presented Arc-Transcriber on r/MachineLearning, describing it as an approximately 70 MB streaming model that combines speech recognition and named-entity linking in one pass. The developer says the model returns a transcript every 100 milliseconds and can link spoken names to a user-supplied list, extract values, identify speakers and audio events, and apply more than 200 trained decision heads. Two variants are described: Arc mini with a Moonshot-pretrained encoder and Arc-v1 with a Parakeet-pretrained encoder.

   r/MachineLearning · 🔥 0
2. Oct 19
   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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