./path.sh # download example wav file wget -O - https://github.com/espnet/espnet/files/4100928/test.wav.tar.gz | tar zxvf - # let's translate speech! translate_wav.sh --models fisher_callhome_spanish.transformer.v1.es-en test.wav where test.wav is a WAV file to be translated. ...
./path.sh # download example wav file wget -O - https://github.com/espnet/espnet/files/4100928/test.wav.tar.gz | tar zxvf - # let's translate speech! translate_wav.sh --models fisher_callhome_spanish.transformer.v1.es-en test.wav where test.wav is a WAV file to be translated. ...
./path.sh # download example wav file wget -O - https://github.com/espnet/espnet/files/4100928/test.wav.tar.gz | tar zxvf - # let's translate speech! translate_wav.sh --models fisher_callhome_spanish.transformer.v1.es-en test.wav where test.wav is a WAV file to be translated....
ESPnet is an end-to-end speech processing toolkit,定期同步:https://github.com/espnet/espnet.git 暂无标签 Python等 6 种语言 Apache-2.0 保存更改 发行版 暂无发行版 espnet 开源评估指数 生产力 创新力 稳健性 协作 贡献者 软件 贡献者(451)
Documentation:https://github.com/espnet/espnet/blob/master/egs2/TEMPLATE/enh1/README.md Suggestions and discussion:https://github.com/espnet/espnet/issues/2200 未来展望 最后我来描述一下ESPnet-SE未来发展方向,我们近期正在为ESPnet-SE加入更多的目标说话人抽取或目标说话人增强的模型,同时也在更真实的应用...
一、ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation Paper: https://arxiv.org/abs/1803.06815v2Github: https://github.com/sacmehta/ESPNet1、… JPxCV发表于CNN技术... 基于乐鑫ESP32 MCU的人脸识别算法推理 坚果星球资源共享 ESPNET(1):一个e2e的语音工具箱 戚少商 ESP...
论文代码:https://github.com/sacmehta/ESPNet Introduction ESPNet是用于语义分割的轻量级网络,核心在于ESP模块,该模块包含point-wise卷积和空洞卷积金字塔,分别用于降低计算复杂度以及重采样各有效感受域的特征。ESP模块比其它卷积分解方法(mobilenet/shufflenet)更高效,ESPNet能在GPU/笔记本/终端设备上达到112FPS/21...
论文代码:https://github.com/murufeng/awesome_lightweight_networks/blob/main/light_cnns/ESPNet/espnetv1.py ESPNet是用于语义分割的轻量级网络,主要思想基于传统卷积模块设计,提出一种高效空间金字塔卷积模块(ESP Module),该模块包含point-wise卷积和空洞卷积金字塔,有助于减小模型运算量和内存、功率消耗,以提高在...
论文代码:https://github.com/sacmehta/ESPNet Introduction ESPNet是用于语义分割的轻量级网络,核心在于ESP模块,该模块包含point-wise卷积和空洞卷积金字塔,分别用于降低计算复杂度以及重采样各有效感受域的特征。ESP模块比其它卷积分解方法(mobilenet/shufflenet)更高效,ESPNet能在GPU/笔记本/终端设备上达到112FPS/21...
如果您只需要Python模块:pip install espnet # To install latest # pip install git+https://github.com/espnet/espnet ,那么您需要安装一些包。pip install torch pip install chainer==6.0.0 cupy==6.0.0 # [Option] If you'll use ESPnet1 pip install torchaudio # [Option] If you'll use enhancemen...