Patil, Novel Inception-GAN for Whisper-to-Normal Speech Conversion, ISCA Speech Synthesis Workshop, 2019 歌唱技巧的转换,比如加上弹唇或颤音 Singers vocal technique conversion Yin-Jyun Luo, Chin-Chen Hsu, Kat Agres, Dorien Herremans, Singing Voice Conversion with Disentangled Representations of Singer...
虽然目前效果比较好的语音转换(voice conversion)系统能够解耦(disentangle)内容和音色,但音高、节奏和内容仍然混杂在一起。 所以作者这篇论文中提出了一种无监督的生成式模型—SPEECHFLOW,可以通过encoder 信息编码的方法,限制信息的传递。为表达明确,先来明确一下四个部分的定义: 语言内容(content):语音包含语音中的...
We describe some experiments in voice-to-voice conversion that use acoustic parameters from the speech of two talkers (source and target). Transformations are performed on the parameters of the source to convert them to match as closely as possible those of the target. The speech of both ...
VOICE CONVERSIONVoice conversion (VC) is a technique to transform the speech of one speaker (source) so that it sounds like it was uttered by another speaker (target) without changing the language context.A voice conversion system containsTraining phase During training phase, a conversion ...
网络释义 1. 语音转换 语音转换(voice Conversion)和韵律转换(Prosody Conversion) 语音转换 语音转换主要是指声道信息的转换,也即是频谱 … baike.baidu.com|基于22个网页 2. 声音转换 ...hat)、说话人个性特征(who)、说话背景信息(where)。声音转换(Voice Conversion)就是要保留语义内容不变,改变说话人 … ...
在高斯混合模型之后产生的方法五.Toolkit 演示语音转换从窄带语音通信转换为宽带语音通信语音产生模型声关节反转映射体传送语音增强发声帮助器 VOICE CONVERSION Voice conversion (VC) is a technique to transform the speech of one speaker (source) so that it sounds like it was uttered by another speaker (...
产生模型声关节反转映射体传送语音增强发声帮助器VOICE CONVERSIONVoice conversion (VC) is a technique to transform the speech of one speaker (source) so tha t it sounds like it was uttered by another speaker (target) witho ut changing the language context.A voice conversion system contai nsTraini...
VoiceConversion Inputvoice Outputvoice Convertingspeechintoanotherspeaker’svoice,basedonofflinetraining. Theemphasisison: Goodoutputvoicequality Robustness ComputationalComplexity ConversionScheme-Training TrainingOutput: Quantizedvectorspaceforeachspeaker’s“speechevents”with1-to-1transformationtable+histogramsofperson...
Vocode技术的传统方法是Griffin-Lim算法，而深度学习领域，WaveNet则是其中的重要代表。声音转换方法可大致分为平行数据与非平行数据两类。平行数据的处理方式是端到端训练，但面临数据收集困难的挑战。实际应用中，非平行数据更为常见。面对不平衡音频数据，处理方法通常分为特征分离与直接转换两大类。特征...
在"SPEECHFLOW"模型中，语音信息被分解为这四个部分。模型的目标是基于自动编码器构建一个生成模型，以解耦语音中混合在一起的四部分内容。作者使用了三个编码器（内容编码器、节奏编码器和音调编码器）来实现这一目标。内容编码器和节奏编码器接收语音的speech spectrogram作为输入，而音调编码器接收经过...