espnet2.asr_transducer.beam_search_transducer.Hypothesis

source

class espnet2.asr_transducer.beam_search_transducer.Hypothesis(score: float, yseq: List[int], dec_state: Tuple[Tensor, Tensor | None] | None = None, lm_state: Dict[str, Any] | List[Any] | None = None)

Bases: object

Default hypothesis definition for Transducer search algorithms.

• Parameters:
  • score – Total log-probability.
  • yseq – Label sequence as integer ID sequence.
  • dec_state – RNN/MEGA Decoder state (None if Stateless).
  • lm_state – RNNLM state. ((N, D_lm), (N, D_lm)) or None

dec_state : Tuple[Tensor, Tensor | None] | None = None

lm_state : Dict[str, Any] | List[Any] | None = None

score : float

yseq : List[int]