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

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