Papers with speech recognition technology
Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation (L18-1)
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| Challenge: | Language documentation involves recording the speech of native speakers. |
| Approach: | They propose to use a neural network architecture to model phonemes and tones versus modelling them separately. |
| Outcome: | The proposed method improves efficiency, minimizes typographical errors and maintains transcription faithfulness to acoustic signal while highlighting phonetic and phonemic facts for linguistic consideration. |
Adversarial Speech Generation and Natural Speech Recovery for Speech Content Protection (2022.lrec-1)
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| Challenge: | Currently, researchers focus on how to protect the speaker's identifiable information, represented as voiceprint, contained in the speech. |
| Approach: | They propose a frame-by-frame adversarial speech generation system to protect speech . they build an adversarials-based method that converts adversarially generated speech to human speech. |
| Outcome: | The proposed method can encode and recover any sensitive audio, and it is easy to be conducted with publicly available speech recognition technology. |