A desktop application that uses AI to translate voice between languages in real time, while preserving the speaker's tone and emotion. pythonmachine-learningtext-to-speechguitranslationmltkinterspeech-to-textspeaker-recognitionfinal-year-projectgttsspeechrecognitionplaysoundtranslates-audiovoice-translatorspeec...
副语言识别:说话人识别(Speaker Recognition), 情绪识别(Speech Emotion Recognition),性别分类(Speaker gender classification) 音乐识别:音乐流派分类(Music Genre Classification) 场景识别:环境声音分类(Environmental Sound Classification) 声音事件检测:各个环境中的声音事件和起始时间的检测 图片来源:http://speech.ee....
The recognition result of the sentence. EmotionValue Int Yes The emotion value. The value is equal to the volume decibel value divided by 10. Valid values: [1,10]. A greater value indicates a stronger emotion. SilenceDuration Int Yes The silence duration between the current and the pr...
1,548 questions with Azure AI Speech tags Sort by:Updated UpdatedCreatedAnswers 0 answers Repetitive result issue with Azure Speech Recognition in .NET I'm building a live mic speech-to-text transcription on Azure using .NET. However, a single sentence results in multiple repetitive sentences. ...
Convolutional neural networks (CNNs) are a variation of the better known Multilayer Perceptron (MLP) in which node connections are inspired by the visual cortex. CNNs have proven to be a powerful tool in image recognition, video analysis, and natural language processing. More germane to the cur...
arrow_drop_down RAVDESS Emotional speech audio arrow_drop_down folder Actor_01 audiotrack 03-01-01-01-01-01-01.wav audiotrack 03-01-01-01-01-02-01.wav audiotrack 03-01-01-01-02-01-01.wav audiotrack 03-01-01-01-02-02-01.wav audiotrack 03-01-02-01-01-01-01.wav audiotrack 03-01...
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1.2. Effect of Age on Emotion Recognition Aging differences have been observed in the emotional perception of both visual and acoustic stimuli [15,16], suggesting that reduced perception of negative emotions is associated with aging. Some groups have even named this observation the “positivity effec...
With regard to the impact of IDs on L2 learning, scholars have identified a broad range of IDs, ranging from socio-psychological (e.g., motivation and emotion) to cognitive factors (e.g., foreign language aptitude, working memory, attention, and auditory processing). For L2 listening—a pri...
CNNs have proven to be a powerful tool in image recognition, video analysis, and natural language processing. More germane to the current effort, successful applications have also been applied to speech analysis. Below is a quick primer to CNNs in the context of my project. For readers ...