2019trans--Sequence-to-Sequence Acoustic Modeling for Voice Conversion
單位：合肥中科大&科大訊飛 時間：2019.1 期刊：TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 基於平行數據的實驗 abstract: Sequence-to- sequence ConvErsion NeTwork (SCENT)—voice conversion的聲學模型 training stage—用attention機制
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相關文章
- 1. StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
- 2. Odessey2018:Average Modeling Approach to Voice Conversion with Non-Parallel Data
- 3. 2019icas--Cross-lingual Voice Conversion with Bilingual Phonetic PosteriorGram and Average Modeling
- 4. Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology
- 5. ONE-SHOT VOICE CONVERSION USING STAR-GAN
- 6. SINGING VOICE CONVERSION WITH NON-PARALLEL DATA
- 7. 聲學模型訓練----Acoustic Modeling
- 8. (6) [IEEESignal12] Deep neural networks for acoustic modeling in speech recognition
- 9. 2018ins--Wavelet Analysis of Speaker Dependent and Independent Prosody for Voice Conversion
- 10. 2016 ICME:Phonetic posteriorgrams for many-to-one voice conversion without parallel data training