From 12a767c7f5300b6ba2c8345eb94bc7f22b1f6132 Mon Sep 17 00:00:00 2001 From: James Betker Date: Sun, 22 May 2022 05:13:08 -0600 Subject: [PATCH] Commit comparisons with naturalspeech This is the first TTS engine I've seen come along that has comparable performance to Tortoise, though what has been released is pretty sparse on actual results. Still, it's an interesting comparison. --- .../fibers/naturalspeech.mp3 | Bin 0 -> 33141 bytes .../fibers/tortoise.mp3 | Bin 0 -> 33453 bytes .../lax/naturalspeech.mp3 | Bin 0 -> 40978 bytes .../naturalspeech_comparison/lax/tortoise.mp3 | Bin 0 -> 42285 bytes .../maltby/naturalspeech.mp3 | Bin 0 -> 35127 bytes .../maltby/tortoise.mp3 | Bin 0 -> 36909 bytes tortoise_v2_examples.html | 22 +++++++++++++++--- 7 files changed, 19 insertions(+), 3 deletions(-) create mode 100644 examples/naturalspeech_comparison/fibers/naturalspeech.mp3 create mode 100644 examples/naturalspeech_comparison/fibers/tortoise.mp3 create mode 100644 examples/naturalspeech_comparison/lax/naturalspeech.mp3 create mode 100644 examples/naturalspeech_comparison/lax/tortoise.mp3 create mode 100644 examples/naturalspeech_comparison/maltby/naturalspeech.mp3 create mode 100644 examples/naturalspeech_comparison/maltby/tortoise.mp3 diff --git a/examples/naturalspeech_comparison/fibers/naturalspeech.mp3 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Short-form


-

Compared to Tacotron2 (with the LJSpeech voice): 🐢

+

Comparisons (with the LJSpeech voice): 🐢

LJSpeech is a popular dataset used to train small-scale TTS models. TorToiSe is a multi-voice model, following is how -it renders the LJSpeech voice with no fine-tuning, compared with results for the same text from the popular Tacotron2 -model paired with the Waveglow transformer:

+it renders the LJSpeech voice with and without fine-tuning, compared with results for the same text from the popular Tacotron2 +model paired with the Waveglow vocoder.

@@ -50,6 +50,22 @@ model paired with the Waveglow transformer:

Tacotron2+WaveglowTorToiSeTorToiSe Finetuned


+

NaturalVoice is a SOTA TTS engine developed by Microsoft Research Asia in May 2022. It features realistic prosody +and end-to-end generation with no need for a vocoder. While not much has actually been released about this model other +than five samples, those samples are quite good and I would consider this the most competitive TTS engine out there +right now.

+ + + + + + +
Natural VoiceTorToiSe Finetuned





+

+

It is important to note that it is not actually fair to compare any of these models: Tortoise is a multi-voice probabilistic +model trained on millions of hours of speech with an exceptionally slow inference time. Tacotron and NaturalVoice are efficient, +fast, single-voice models trained on 24 hours of speech. Unfortunately, there isn't much in the way of actually comparable +research to Tortoise.

All Results 🐢

Following are all the results from which the hand-picked results were drawn from. Also included is the reference