ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.16049
  4. Cited By
Evaluating and reducing the distance between synthetic and real speech
  distributions
v1v2 (latest)

Evaluating and reducing the distance between synthetic and real speech distributions

Interspeech (Interspeech), 2022
29 November 2022
Christoph Minixhofer
Ondˇrej Klejch
P. Bell
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Evaluating and reducing the distance between synthetic and real speech distributions"

7 / 7 papers shown
Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection
Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection
Taewoo Kim
Guisik Kim
Choongsang Cho
Young Han Lee
208
1
0
20 May 2025
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR
Sewade Ogun
Vincent Colotte
Emmanuel Vincent
326
1
0
11 Mar 2025
Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech
  Synthesis in ASR
Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech Synthesis in ASR
Christoph Minixhofer
Ondˇrej Klejch
Peter Bell
238
0
0
16 Oct 2024
On the Problem of Text-To-Speech Model Selection for Synthetic Data
  Generation in Automatic Speech Recognition
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition
Nick Rossenbach
Ralf Schluter
S. Sakti
172
4
0
31 Jul 2024
TTSDS -- Text-to-Speech Distribution Score
TTSDS -- Text-to-Speech Distribution Score
Christoph Minixhofer
Ondˇrej Klejch
Peter Bell
219
9
0
17 Jul 2024
On the Relevance of Phoneme Duration Variability of Synthesized Training
  Data for Automatic Speech Recognition
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech RecognitionAutomatic Speech Recognition & Understanding (ASRU), 2023
Nick Rossenbach
Benedikt Hilmes
Ralf Schluter
147
5
0
12 Oct 2023
Evaluating Speech Synthesis by Training Recognizers on Synthetic Speech
Evaluating Speech Synthesis by Training Recognizers on Synthetic Speech
Dareen Alharthi
Roshan S. Sharma
Hira Dhamyal
Soumi Maiti
Bhiksha Raj
Rita Singh
159
7
0
01 Oct 2023
1