Results 91 to 100 of about 3,240 (204)
Indian Semi-Classical Music Dataset
, 2022 This dataset is a collection of mel-spectrogram features extracted from Indian semi-classical music containing the following 9 semi-classical styles: Bhajan, Chaiti, Dadra, Ghazal, Kajri, Natya Sangeet, Qawwali, Tappa, Thumri.
Yeshwant Singh +2 more
core +1 more source
Engineering Reports, Volume 8, Issue 6, June 2026.A lightweight dual‐branch neural network with cross‐attention fusion (LDCNN‐CF) integrates Mel‐spectrograms with psychoacoustic parameters to predict electric toothbrush acoustic comfort. The model achieves human‐like accuracy (MAE = 0.82, R2 = 0.84) with only 0.42 M parameters and identifies roughness as the dominant predictor of discomfort.
Yang Zhang
wiley +1 more source
Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data
, 2023 Creating synthetic voices with found data is challenging, as real-world recordings often contain various types of audio degradation. One way to address this problem is to pre-enhance the speech with an enhancement model and then use the enhanced data for
Liu, Wei, Lee, Tan, Tian, Yusheng
core +1 more source
On Zero-Shot Multi-Speaker Text-to-Speech Using Deep Learning [PDF]
, 2023 This thesis explores various aspects of zero-shot multi-speaker text-to-speech (TTS) synthesis using deep learning to create an effective system. A deep learning model for zero-shot multi-speaker TTS uses text and speaker identity as input to generate ...
Kandarkar, Pradnya
core
, 2022 This dataset is a collection of mel-spectrogram features extracted from Indian folk music containing the following 15 folk styles: Bauls, Bhavageethe, Garba, Kajri, Maand, Sohar, Tamang Selo, Veeragase, Bhatiali, Bihu, Gidha, Lavani, Naatupura Paatu ...
Yeshwant Singh +3 more
core +1 more source
Caution Ahead: Numerical Reasoning and Look‐Ahead Bias in AI Models
Journal of Accounting Research, Volume 64, Issue 3, Page 1139-1188, June 2026.ABSTRACT Recent work within accounting and finance has highlighted that modern AI systems exhibit superhuman performance on a variety of foundational activities within these fields. However, the literature often does not provide economic rationale for why AI models seem to outperform, largely because these models are a black box.
BRADFORD LEVY
wiley +1 more source
Raw data in waveform and representation in spectrogram, mel-spectrogram, and mfcc form.
Raw data in waveform and representation in spectrogram, mel-spectrogram, and mfcc form.
Thanh-Cong Truong (18452213) +2 more
core +1 more source
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
, 2022 Singing voice synthesis (SVS) systems are built to synthesize high-quality and expressive singing voice, in which the acoustic model generates the acoustic features (e.g., mel-spectrogram) given a music score.
Li, Chengxi +4 more
core +1 more source
Molecular Oncology, Volume 20, Issue 5, Page 1185-1201, May 2026.ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram
CoRR, 2019 In speech synthesis and speech enhancement systems, melspectrograms need to be precise in acoustic representations. However, the generated spectrograms are over-smooth, that could not produce high quality synthesized speech. Inspired by image-to-image translation, we address this problem by using a learning-based post filter combining Pix2PixHD and ...
Leyuan Sheng +2 more
openaire +2 more sources