Module: Cohere::Transcribe::Alignment::CTC
- Defined in:
- lib/cohere/transcribe/alignment/ctc.rb
Overview
Ruby port of TorchAudio's CPU forced_align kernel. The two-row score matrix remains float32 so its Viterbi choices follow the reference kernel's rounding and tie-breaking behavior, while the back-pointers use one byte per state and frame.
Class Method Summary collapse
- .forced_align(log_probs, targets, blank:) ⇒ Object
- .merge_repeats(path, index_to_token) ⇒ Object
- .spans(tokens, segments, blank) ⇒ Object
Class Method Details
.forced_align(log_probs, targets, blank:) ⇒ Object
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# File 'lib/cohere/transcribe/alignment/ctc.rb', line 17 def forced_align(log_probs, targets, blank:) frame_count, class_count = matrix_shape(log_probs) validate_targets!(targets, blank, class_count) target_count = targets.length repeat_count = targets.each_cons(2).count { |left, right| left == right } minimum_frames = target_count + repeat_count if frame_count < minimum_frames raise ArgumentError, "targets length is too long for CTC: " \ "#{frame_count} frames, #{target_count} targets, #{repeat_count} repeats" end state_count = (2 * target_count) + 1 alphas = Numo::SFloat.zeros(2, state_count).fill(-Float::INFINITY) back_pointers = "\xFF".b * (frame_count * state_count) first_state = frame_count > minimum_frames ? 0 : 1 end_state = state_count == 1 ? 1 : 2 (first_state...end_state).each do |state| alphas[0, state] = probability(log_probs, 0, label_for(state, targets, blank)) end 1.upto(frame_count - 1) do |frame| if frame_count - frame <= minimum_frames first_state += 1 if first_state.odd? && targets.fetch(first_state / 2) != targets.fetch((first_state / 2) + 1) first_state += 1 end if frame <= minimum_frames if end_state.even? && end_state < 2 * target_count && targets.fetch((end_state / 2) - 1) != targets.fetch(end_state / 2) end_state += 1 end end_state += 1 end current_row = frame % 2 previous_row = (frame - 1) % 2 alphas[current_row, true] = -Float::INFINITY loop_start = first_state if first_state.zero? alphas[current_row, 0] = alphas[previous_row, 0] + probability(log_probs, frame, blank) back_pointers.setbyte(frame * state_count, 0) loop_start += 1 end (loop_start...end_state).each do |state| stay = alphas[previous_row, state] advance = alphas[previous_row, state - 1] skip = -Float::INFINITY if state.odd? && state != 1 && targets.fetch(state / 2) != targets.fetch((state / 2) - 1) skip = alphas[previous_row, state - 2] end score, step = if skip > advance && skip > stay [skip, 2] elsif advance > stay && advance > skip [advance, 1] else [stay, 0] end back_pointers.setbyte((frame * state_count) + state, step) alphas[current_row, state] = score + probability(log_probs, frame, label_for(state, targets, blank)) end end final_row = (frame_count - 1) % 2 state = if alphas[final_row, state_count - 1] > alphas[final_row, state_count - 2] state_count - 1 else state_count - 2 end path = Array.new(frame_count) (frame_count - 1).downto(0) do |frame| path[frame] = label_for(state, targets, blank) break if frame.zero? step = back_pointers.getbyte((frame * state_count) + state) raise "CTC back-pointer was not initialized" unless step && step <= 2 state -= step end path.freeze end |
.merge_repeats(path, index_to_token) ⇒ Object
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# File 'lib/cohere/transcribe/alignment/ctc.rb', line 103 def merge_repeats(path, index_to_token) segments = [] first = 0 while first < path.length following = first + 1 following += 1 while following < path.length && path.fetch(first) == path.fetch(following) label = index_to_token.fetch(path.fetch(first)) segments << Segment.new(label: label, start: first, end: following - 1) first = following end segments.freeze end |
.spans(tokens, segments, blank) ⇒ Object
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# File 'lib/cohere/transcribe/alignment/ctc.rb', line 116 def spans(tokens, segments, blank) letter_index = 0 token_index = 0 intervals = [] interval_start = 0 segments.each_with_index do |segment, segment_index| if token_index == tokens.length unless segment_index == segments.length - 1 && segment.label == blank raise "CTC path continued with a non-blank label after the transcript" end next end token_letters = tokens.fetch(token_index).split letter = token_letters.fetch(letter_index) next if segment.label == blank raise "#{segment.label} != #{letter}" unless segment.label == letter interval_start = segment_index if letter_index.zero? if letter_index == token_letters.length - 1 letter_index = 0 token_index += 1 intervals << [interval_start, segment_index] while token_index < tokens.length && tokens.fetch(token_index).empty? intervals << [segment_index, segment_index] token_index += 1 end else letter_index += 1 end end raise "CTC path did not consume every transcript token" unless token_index == tokens.length intervals.each_with_index.map do |(first, last), interval_index| span = segments[first..last] if first.positive? previous = segments.fetch(first - 1) if previous.label == blank padded_start = if interval_index.zero? previous.start else ((previous.start + previous.end) / 2.0).to_i end span = [Segment.new(label: blank, start: padded_start, end: span.first.start), *span] end end if last + 1 < segments.length following = segments.fetch(last + 1) if following.label == blank padded_end = if interval_index == intervals.length - 1 following.end else ((following.start + following.end) / 2.0).floor end span = [*span, Segment.new(label: blank, start: span.last.end, end: padded_end)] end end span.freeze end.freeze end |