speech_utils/init.lua


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nerv.speech_utils = {}

function nerv.speech_utils.global_transf(feat_utter, global_transf, frm_ext, gconf)
    local rearranged
    feat_utter = gconf.cumat_type.new_from_host(feat_utter)
    if frm_ext > 0 then
        local step = frm_ext * 2 + 1
        -- expand the feature
        local expanded = gconf.cumat_type(feat_utter:nrow(), feat_utter:ncol() * step)
        expanded:expand_frm(feat_utter, frm_ext)
        -- rearrange the feature (``transpose'' operation in TNet)
        rearranged = expanded:create()
        rearranged:rearrange_frm(expanded, step)
    else
        rearranged = feat_utter
    end
    -- prepare for transf
    local input = {rearranged}
    local output = {rearranged:create()}
    -- do transf
    global_transf:init(input[1]:nrow())
    global_transf:propagate(input, output)
    -- trim frames
    expanded = gconf.mmat_type(output[1]:nrow() - frm_ext * 2, output[1]:ncol())
    output[1]:copy_toh(expanded, frm_ext, feat_utter:nrow() - frm_ext)
    collectgarbage("collect")
    return expanded
end