From d8ed1760590910635bb6766413d3f7f4175a03d7 Mon Sep 17 00:00:00 2001 From: Robbie Netzorg Date: Sat, 7 Oct 2023 19:31:22 -0700 Subject: [PATCH] Updating Demo Page! --- index.html | 73 ++++++++++++++++++++++++++----------------- resources/bibtex.txt | 10 +++--- resources/figure.png | Bin 0 -> 257704 bytes 3 files changed, 50 insertions(+), 33 deletions(-) create mode 100644 resources/figure.png diff --git a/index.html b/index.html index 15cd807..55b27c6 100644 --- a/index.html +++ b/index.html @@ -118,10 +118,10 @@ - This is my paper title + PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models - - + + @@ -138,23 +138,28 @@
- Creative and Descriptive Paper Title + PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models
+ @@ -166,11 +171,11 @@ [Paper] -
- First Author + Robin Netzorg
- Second Author + Ajil Jalal
- Third Author + Luna McNulty +
+
+
+ Gopala Anumanchipalli
+
@@ -181,18 +186,11 @@
- +
- - - - -
- This was a template originally made for Colorful Image Colorization. The code can be found in this repository. -

@@ -201,13 +199,32 @@

Abstract

- This is my abstract. + Perceptual modification of voice is an elusive goal. + While non-experts can modify an image or sentence perceptually with available tools, it is not clear how to similarly modify speech along perceptual axes. Voice conversion does make it possible to convert one voice to another, but these modifications are handled by black box models, and the specifics of what perceptual qualities to modify how to modify them are unclear. Towards allowing greater perceptual control over voice, we introduce PerMod, a conditional latent diffusion model that takes in an input voice and a perceptual qualities vector, and produces a voice with the matching perceptual qualities. Unlike prior work, PerMod generates a new voice corresponding to perceptual modifications. Evaluating perceptual quality vectors with RMSE from both human and predicted labels, we demonstrate that PerMod produces voices with the desired perceptual qualities for typical voices, but performs poorly on atypical voices.
-
+ +

Demo

+ + + + + + + + + + + + + + +
TaskModelInput SpeechTarget SpeechGenerated Speech
Typical-to-TypicalPerMod-PretrainedVCTK 1VCTK 2
+ + +

- + -
+ (camera ready)
+
-
+
--> @@ -293,12 +310,12 @@

Acknowledgements

- This template was originally made by Phillip Isola and Richard Zhang for a colorful ECCV project; the code can be found here. + This work was supported by the UC Noyce Initiative, Society of Hellman Fellows, NSF, NIH/NIDCD and the Schwab Innovation Fund.
- +
diff --git a/resources/bibtex.txt b/resources/bibtex.txt index a64f88e..1eaccf3 100644 --- a/resources/bibtex.txt +++ b/resources/bibtex.txt @@ -1,6 +1,6 @@ -@inproceedings{author20XXtitle, - title={Please cite me}, - author={Author, First and Author, Second and Author, Third}, - booktitle={Conference}, - year={20XX} +@inproceedings{netzorg2023permod, + title={PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models}, + author={Netzorg, Robin and Jalal, Ajil and McNulty, Luna and Anumanchipalli, Gopala}, + booktitle={Workshop on Automatic Speech Recognition and Understanding (ASRU)}, + year={2023} } \ No newline at end of file diff --git a/resources/figure.png b/resources/figure.png new file mode 100644 index 0000000000000000000000000000000000000000..d653cae522056cf9f07e50a2ccc8e60e33521c83 GIT binary patch literal 257704 zcmdRVg;yI+6D^eDUbMKhIK_%P#odCtyE_Dm7Kh^QQrsPayF+oeqQPBX`upU4?@xF+ zIR_G!&Ft*#%$>V8VT$q+s7M4zP*6~)Qj(&|P*CqLp`hN0AizQ1k={M@g8X>zEFz_f 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