使用SpeechRecognition库实现语音识别 语音识别数据集 语音识别(2):KWS数据集代码分析 数据集分析 kws的语音数据为该数据集有 30 个短单词的 65000 个长度 1 秒钟的发音。 这是Google的一个语音数据集 下载地址:http://download.tensorflow.org/data/speech_commands_v0.01.tar.gz 下载后得到文件 speech_commands_...
deep-learningcnndnnoptimization-algorithmsgoogle-speech-command-dataset UpdatedSep 15, 2023 Jupyter Notebook Spoken robot command recognition robot-controlkeyword-spottinggoogle-speech-command-dataset UpdatedOct 25, 2024 Python Add a description, image, and links to thegoogle-speech-command-datasettopic pag...
Speech Emotion Recognition (SER) Datasets:A collection of datasets (count=77) for the purpose of emotion recognition/detection in speech. The table is chronologically ordered and includes a description of the content of each dataset along with the emotions included. The table can be browsed, sort...
dataFolder = tempdir; dataset = fullfile(dataFolder,"Emo-DB");if~datasetExists(dataset) url ="http://emodb.bilderbar.info/download/download.zip"; disp("Downloading Emo-DB (40.5 MB) ...") unzip(url,dataset)end Create anaudioDatastorethat points to the audio files. ...
A large training dataset is required to improve recognition. Generally, we recommend that you provide word-by-word transcriptions for 1 to 100 hours of audio (up to 20 hours for older models that do not charge for training). However, even as little as 30 minutes can help improve ...
This paper introduces a new multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of TED and TEDx videos, along with the corresponding subtitles and word alignment boundaries. The new dataset is substantially larger in scale compared to oth...
Custom speech lets you qualitatively inspect the recognition quality of a model. You can play back uploaded audio and determine if the provided recognition result is correct.
presence of speech commands in audio to a Xilinx™ Zynq® UltraScale+™ MPSoC ZCU102 Evaluation Kit. This example uses the pretrained network that was trained by using the Speech Commands Dataset [1]. To create the pretrained network, seeTrain Speech Command Recognition Model Using Deep ...
GigaAM-Emo: Emotion Recognition GigaAM-Emo is a fine-tuned model for emotion recognition trained on the Dusha dataset. It significantly outperforms existing models on several metrics. Performance Metrics CrowdPodcast Unweighted Accuracy Weighted Accuracy Macro F1-score Unweighted Accuracy Weighted Accuracy...
Please download the Lithuanian Speech Commands datasethere. ./prepare_dm_data.sh Training For training and evaluating the three speech command recognition results. ./run_ar.sh ./run_lt.sh ./run_dm.sh For more details please refer toAR-SCR,LT-SCRandDM-SCR ...