BIOENGINEER

Frequency-aware transformer spots AI-generated fake voices and shows its reasoning

A new Frequency-Aware Transformer achieved 94.6% accuracy and a 6.3% equal error rate on the ASVspoof 2019 Logical Access benchmark while using attention rollout and SHAP analysis to reveal which ...
aiweekly

Wav2Vec2 and HuBERT probe when linguistic structure emerges

Want only the AI that hits your stack? Build an agent that tracks your companies and topics, and skips everything else. If you work with speech encoders, this is the kind of interpretability paper ...
blog.csdn

wav2vec2-large-xlsr-53-chinese-zh-cn模型优化：计算复杂度分析与算法改进

在当今人工智能语音识别领域，wav2vec2-large-xlsr-53-chinese-zh-cn作为基于Facebook wav2vec2架构的中文语音识别模型，虽然取得了82.37% ...
huggingface

Wav2Vec2-NL

More information, incl. the training manifest and configuration is available in the Wav2Vec2-NL repository on Zenodo. Analyses of Dutch phonetic and lexical features encoded in Wav2Vec2-NL hidden ...
huggingface

imprt/izanami-wav2vec2-base-jtes-er

This model is a speech emotion recognition model for S3PRL trained on JTES(Japanese Twitter-based Emotional Speech v1.1) using imprt/izanami-wav2vec2-base as an upstream model. JTES is an emotional ...
blog.csdn

wav2vec2-live 项目使用教程

LICENSE: 项目许可证文件。 README.md: 项目说明文档。 requirements.txt: 项目依赖文件。 setup.py: 项目安装脚本。 src/: 源代码目录 ...
Hacker

Working with wav2vec2 Part 2 - Running Inference on Finetuned ASR Models

Speech and language processing. At the end of the beginning. Log in to Kaggle. Create a new Kaggle Notebook. The name of the notebook can be changed as desired. This guide uses the notebook name ...
IEEE

Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech

Abstract: Many acoustic features and machine learning models have been studied to build automatic detection systems to distinguish dysarthric speech from healthy speech. These systems can help to ...
Hacker

wav2vec2 for Automatic Speech Recognition In Plain English

Speech and language processing. At the end of the beginning. I would encourage you to take a look at it since it offers a nice summary of the academic paper and since the wav2vec2 model illustrations ...
GitHub

Some weights of the model checkpoint at jonatasgrosman/wav2vec2-large-xlsr-53-english were not used when initializing Wav2Vec2Model: ['lm_head.weight', 'lm_head.bias']

-async is forwarded to lavfi similarly to -af aresample=async=1:min_hard_comp=0.100000:first_pts=0. Output #0, wav, to 'tmp/codeformer_sr_english@M030_front_neutral ...
nsu.ru

Разработанную ученым НГУ модель распознавания речи научили различать эмоции

Ученые Санкт-Петербургского государственного университета (СПбГУ) научили нейросеть ...
IEEE

Compressing Wav2vec2 for Embedded Applications

Abstract: Wav2vec2 self-supervised multilingual training learns speech units common to multiple languages, leading to better generalization capacity. However, Wav2vec2 is larger than other E2E ASR ...