5 prompt(s) · one section per prompt · all models ranked by warm TTFA (fastest first) within each
Each prompt section shows every model's audio output, ordered by warm TTFA (fastest first). Click any audio player to hear that model's rendering.
Reference voice
Each model below was given this clip + transcript as the voice to imitate. Source: chris_hemsworth_15s.wav
Prompt 1
[en]"Open the browser and read my email."
Rank
Model
Device
TTFA warm
Audio
1
NeuTTS Nano
cuda
356ms
2
NeuTTS Nano
cpu
369ms
3
NeuTTS Air
cuda
497ms
4
NeuTTS Air
cpu
630ms
Prompt 2
[en]"I'll start a new git branch, push the changes, and open a pull request when the tests pass."
Rank
Model
Device
TTFA warm
Audio
1
NeuTTS Nano
cuda
368ms
2
NeuTTS Nano
cpu
460ms
3
NeuTTS Air
cpu
495ms
4
NeuTTS Air
cuda
496ms
Prompt 3
[en]"The Parakeet TDT zero point six billion parameter model achieves one point six nine percent word error rate on LibriSpeech test-clean, beating Whisper Large V3 at two point seven percent while running at over two thousand times realtime on a single GPU."
Rank
Model
Device
TTFA warm
Audio
1
NeuTTS Nano
cuda
307ms
2
NeuTTS Nano
cpu
378ms
3
NeuTTS Air
cuda
518ms
4
NeuTTS Air
cpu
636ms
Prompt 4
[en]"Run pytest tests slash test underscore voice dot py with verbose flag and capture flag set to no."
Rank
Model
Device
TTFA warm
Audio
1
NeuTTS Nano
cuda
337ms
2
NeuTTS Nano
cpu
386ms
3
NeuTTS Air
cuda
458ms
4
NeuTTS Air
cpu
512ms
Prompt 5
[fr]"Bonjour, je m'appelle Cicero et je vais vous aider avec votre code aujourd'hui."