TeodoraR commited on
Commit
de9977d
·
verified ·
1 Parent(s): 79df7d1

create readme file

Browse files
Files changed (1) hide show
  1. README.md +62 -0
README.md ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ language:
4
+ - ro
5
+ pipeline_tag: text-to-speech
6
+ ---
7
+
8
+ # Romanian TTS Model (Finetuned)
9
+
10
+ This is a **VITS** model finetuned for the Romanian language. It was trained **(from scratch)** on the SWARA dataset and finetuned on specific speaker samples (BEA/SGS).
11
+
12
+ ## Model Details
13
+ - **Architecture:** VITS
14
+ - **Language:** Romanian (ro)
15
+ - **Base Dataset:** The SWARA Speech Corpus (18k samples)
16
+ - **Base Model:** trained on 16 speakers (includes both male & female voices, balanced data). The base model components can be found in the 'swara' directory.
17
+ - **Finetuning:** finetuned on 2 speakers (bas and sgs). Their checkpoints can be found in the 'bas' and 'sgs' directories.
18
+ - **Sample rate:** 22050Hz
19
+
20
+ ## Usage instructions
21
+ - **Included in the official repository of VITS:** https://github.com/jaywalnut310/vits.git
22
+ - **Our repository on finetuning various TTS models for the Romanian language:** https://gitlab.com/opentts_ragman/OpenTTS
23
+
24
+ ## Citation
25
+
26
+ If you use this model, please cite the original VITS paper and the SWARA dataset:
27
+
28
+ ```bibtex
29
+ @article{kim2021vits,
30
+ title={{Vits: Variational inference with adversarial learning for end-to-end text-to-speech}},
31
+ author={Kim, Jaehyeon and Kong, Jae Sung and Yoon, Byoungkun and Kim, Sungjoo and Choi, Daehyun},
32
+ journal={Advances in Neural Information Processing Systems},
33
+ volume={34},
34
+ pages={6879--6895},
35
+ year={2021}
36
+ }
37
+
38
+ @inproceedings{stan_sped2017,
39
+ author = {Stan, Adriana and Dinescu, Florina and Tiple, Cristina and Meza, Serban and Orza, Bogdan and Chirila, Magdalena and Giurgiu, Mircea},
40
+ title = {{The SWARA Speech Corpus: A Large Parallel Romanian Read Speech Dataset}},
41
+ year = 2017,
42
+ address = {Bucharest, Romania},
43
+ booktitle = {{Proceedings of the 9th Conference on Speech Technology and Human-Computer Dialogue (SpeD)}},
44
+ month = {July, 6-9},
45
+ }
46
+ ```
47
+
48
+ If you use this specific finetuned checkpoint in your work, please cite it as follows:
49
+
50
+ ```bibtex
51
+ @ARTICLE{11269795,
52
+ author={Răgman, Teodora and Bogdan Stânea, Adrian and Cucu, Horia and Stan, Adriana},
53
+ journal={IEEE Access},
54
+ title={How Open Is Open TTS? A Practical Evaluation of Open Source TTS Tools},
55
+ year={2025},
56
+ volume={13},
57
+ number={},
58
+ pages={203415-203428},
59
+ keywords={Computer architecture;Training;Text to speech;Spectrogram;Decoding;Computational modeling;Codecs;Predictive models;Acoustics;Low latency communication;Speech synthesis;open tools;evaluation;computational requirements;TTS adaptation;text-to-speech;objective measures;listening test;Romanian},
60
+ doi={10.1109/ACCESS.2025.3637322}}
61
+
62
+ ```