heimoshuiyu/faster-whisper
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Rename offset to seek to match the OpenAI implementation

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Guillaume Klein
2023-03-09 09:58:58 +01:00
parent 6b16b8a69c
commit 4176da0d68
1 changed files with 9 additions and 11 deletions
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20
faster_whisper/transcribe.py
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@@ -238,7 +238,7 @@ class WhisperModel:
def generate_tokenized_segments(self, features, options):
content_frames = features.shape[-1] - self.feature_extractor.nb_max_frames
offset = 0
seek = 0
all_tokens = []
prompt_reset_since = 0
@@ -247,13 +247,11 @@ class WhisperModel:
initial_prompt_tokens = self.encode_text(initial_prompt)
all_tokens.extend(initial_prompt_tokens)
while offset < content_frames:
time_offset = offset * self.feature_extractor.time_per_frame
segment = features[
:, offset : offset + self.feature_extractor.nb_max_frames
]
while seek < content_frames:
time_offset = seek * self.feature_extractor.time_per_frame
segment = features[:, seek : seek + self.feature_extractor.nb_max_frames]
segment_size = min(
self.feature_extractor.nb_max_frames, content_frames - offset
self.feature_extractor.nb_max_frames, content_frames - seek
)
segment_duration = segment_size * self.feature_extractor.time_per_frame
@@ -283,7 +281,7 @@ class WhisperModel:
if should_skip:
# fast-forward to the next segment boundary
offset += segment_size
seek += segment_size
continue
tokens = result.sequences_ids[0]
@@ -325,13 +323,13 @@ class WhisperModel:
if ended_with_single_timestamp:
# single timestamp at the end means no speech after the last timestamp.
offset += segment_size
seek += segment_size
else:
# otherwise, ignore the unfinished segment and seek to the last timestamp
last_timestamp_position = (
tokens[last_slice - 1] - self.timestamp_begin_id
)
offset += last_timestamp_position * self.input_stride
seek += last_timestamp_position * self.input_stride
all_tokens.extend(tokens[: last_slice + 1])
@@ -346,7 +344,7 @@ class WhisperModel:
yield time_offset, time_offset + duration, tokens
offset += segment_size
seek += segment_size
all_tokens.extend(tokens)
if not options.condition_on_previous_text or temperature > 0.5: