A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation.
Yosuke HiguchiNanxin ChenYuya FujitaHirofumi InagumaTatsuya KomatsuJaesong LeeJumon NozakiTianzi WangShinji WatanabePublished in: CoRR (2021)
Keyphrases
- autoregressive
- text generation
- natural language generation
- non stationary
- moving average
- dialogue system
- gaussian markov random field
- speech recognition
- natural language
- random fields
- speech signal
- autoregressive model
- sar images
- spectrum analysis
- random field models
- theorem prover
- parameter estimation
- higher order
- multiresolution
- artificial intelligence
- information retrieval
- autoregressive moving average
- arma model
- data mining