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5 Commits
Author | SHA1 | Date | |
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9dc53ec8ad | |||
577316bc4e | |||
b5ee026cea | |||
52ed77c16f | |||
dae32d13d6 |
@ -100,4 +100,6 @@ required-features = ["candle-datasets"]
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name = "encodec"
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required-features = ["symphonia"]
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[[example]]
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name = "metavoice"
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required-features = ["symphonia"]
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@ -10,7 +10,9 @@ use std::io::Write;
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use candle_transformers::generation::LogitsProcessor;
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use candle_transformers::models::encodec;
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use candle_transformers::models::metavoice::{adapters, gpt, tokenizers, transformer};
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use candle_transformers::models::metavoice::{
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adapters, gpt, speaker_encoder, tokenizers, transformer,
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};
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use candle::{DType, IndexOp, Tensor};
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use candle_nn::VarBuilder;
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@ -19,6 +21,60 @@ use rand::{distributions::Distribution, SeedableRng};
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pub const ENCODEC_NTOKENS: u32 = 1024;
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fn conv<T>(samples: &mut Vec<f32>, data: std::borrow::Cow<symphonia::core::audio::AudioBuffer<T>>)
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where
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T: symphonia::core::sample::Sample,
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f32: symphonia::core::conv::FromSample<T>,
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{
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use symphonia::core::audio::Signal;
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use symphonia::core::conv::FromSample;
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samples.extend(data.chan(0).iter().map(|v| f32::from_sample(*v)))
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}
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fn pcm_decode<P: AsRef<std::path::Path>>(path: P) -> anyhow::Result<(Vec<f32>, u32)> {
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use symphonia::core::audio::{AudioBufferRef, Signal};
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let src = std::fs::File::open(path)?;
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let mss = symphonia::core::io::MediaSourceStream::new(Box::new(src), Default::default());
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let hint = symphonia::core::probe::Hint::new();
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let meta_opts: symphonia::core::meta::MetadataOptions = Default::default();
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let fmt_opts: symphonia::core::formats::FormatOptions = Default::default();
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let probed = symphonia::default::get_probe().format(&hint, mss, &fmt_opts, &meta_opts)?;
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let mut format = probed.format;
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let track = format
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.tracks()
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.iter()
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.find(|t| t.codec_params.codec != symphonia::core::codecs::CODEC_TYPE_NULL)
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.expect("no supported audio tracks");
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let mut decoder = symphonia::default::get_codecs()
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.make(&track.codec_params, &Default::default())
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.expect("unsupported codec");
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let track_id = track.id;
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let sample_rate = track.codec_params.sample_rate.unwrap_or(0);
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let mut pcm_data = Vec::new();
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while let Ok(packet) = format.next_packet() {
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while !format.metadata().is_latest() {
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format.metadata().pop();
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}
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if packet.track_id() != track_id {
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continue;
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}
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match decoder.decode(&packet)? {
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AudioBufferRef::F32(buf) => pcm_data.extend(buf.chan(0)),
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AudioBufferRef::U8(data) => conv(&mut pcm_data, data),
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AudioBufferRef::U16(data) => conv(&mut pcm_data, data),
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AudioBufferRef::U24(data) => conv(&mut pcm_data, data),
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AudioBufferRef::U32(data) => conv(&mut pcm_data, data),
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AudioBufferRef::S8(data) => conv(&mut pcm_data, data),
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AudioBufferRef::S16(data) => conv(&mut pcm_data, data),
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AudioBufferRef::S24(data) => conv(&mut pcm_data, data),
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AudioBufferRef::S32(data) => conv(&mut pcm_data, data),
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AudioBufferRef::F64(data) => conv(&mut pcm_data, data),
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}
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}
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Ok((pcm_data, sample_rate))
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}
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#[derive(Clone, Debug, Copy, PartialEq, Eq, clap::ValueEnum)]
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enum ArgDType {
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F32,
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@ -69,9 +125,14 @@ struct Args {
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#[arg(long)]
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second_stage_weights: Option<String>,
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#[arg(long)]
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speaker_encoder_weights: Option<String>,
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#[arg(long)]
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encodec_weights: Option<String>,
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/// The speaker embeddings, either an audio files in which case they are extracted, or a
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/// safetensors file with the embeddings already extracted.
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#[arg(long)]
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spk_emb: Option<String>,
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@ -79,6 +140,13 @@ struct Args {
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dtype: ArgDType,
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}
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fn mel_filters() -> Result<Vec<f32>> {
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let mel_bytes = include_bytes!("melfilters40.bytes").as_slice();
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let mut mel_filters = vec![0f32; mel_bytes.len() / 4];
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<byteorder::LittleEndian as byteorder::ByteOrder>::read_f32_into(mel_bytes, &mut mel_filters);
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Ok(mel_filters)
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}
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fn main() -> Result<()> {
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use tracing_chrome::ChromeLayerBuilder;
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use tracing_subscriber::prelude::*;
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@ -120,7 +188,7 @@ fn main() -> Result<()> {
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Some(w) => std::path::PathBuf::from(w),
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None => repo.get("first_stage.safetensors")?,
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};
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let second_stage_weights = match &args.first_stage_weights {
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let second_stage_weights = match &args.second_stage_weights {
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Some(w) => std::path::PathBuf::from(w),
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None => repo.get("second_stage.safetensors")?,
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};
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@ -159,16 +227,41 @@ fn main() -> Result<()> {
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let prompt_tokens = fs_tokenizer.encode(&args.prompt)?;
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let mut tokens = prompt_tokens.clone();
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println!("{tokens:?}");
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let spk_emb_file = match &args.spk_emb {
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Some(w) => std::path::PathBuf::from(w),
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None => repo.get("spk_emb.safetensors")?,
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let safetensors_embeddings = args
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.spk_emb
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.as_ref()
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.map_or(true, |v| v.ends_with("safetensors"));
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let spk_emb = if safetensors_embeddings {
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let spk_emb_file = match &args.spk_emb {
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Some(w) => std::path::PathBuf::from(w),
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None => repo.get("spk_emb.safetensors")?,
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};
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let spk_emb = candle::safetensors::load(&spk_emb_file, &candle::Device::Cpu)?;
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match spk_emb.get("spk_emb") {
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None => anyhow::bail!("missing spk_emb tensor in {spk_emb_file:?}"),
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Some(spk_emb) => spk_emb.to_dtype(dtype)?.to_device(&device)?,
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}
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} else {
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let weights = match &args.speaker_encoder_weights {
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Some(w) => std::path::PathBuf::from(w),
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None => repo.get("speaker_encoder.safetensors")?,
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};
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let mel_filters = mel_filters()?;
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let config = speaker_encoder::Config::cfg();
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let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[weights], dtype, &device)? };
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let model = speaker_encoder::Model::new(config, vb)?;
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let (pcm, sample_rate) = pcm_decode(&args.spk_emb.unwrap())?;
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if sample_rate != 16_000 {
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eprintln!("WARNING: speaker embedding input should use a 16kHz sample rate!")
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}
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model.embed_utterance(
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&pcm,
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&mel_filters,
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/* rate */ 1.3,
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/* min_c */ 0.75,
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&device,
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)?
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};
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let spk_emb = candle::safetensors::load(&spk_emb_file, &candle::Device::Cpu)?;
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let spk_emb = match spk_emb.get("spk_emb") {
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None => anyhow::bail!("missing spk_emb tensor in {spk_emb_file:?}"),
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Some(spk_emb) => spk_emb.to_dtype(dtype)?,
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};
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let spk_emb = spk_emb.to_device(&device)?;
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let mut logits_processor = LogitsProcessor::new(args.seed, Some(args.temperature), Some(0.95));
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// First stage generation.
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BIN
candle-examples/examples/metavoice/melfilters40.bytes
Normal file
BIN
candle-examples/examples/metavoice/melfilters40.bytes
Normal file
Binary file not shown.
@ -55,12 +55,12 @@ pub mod speaker_encoder {
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layer_idx,
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..Default::default()
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};
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let lstm = candle_nn::lstm(
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cfg.mel_n_channels,
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cfg.model_hidden_size,
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c,
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vb_l.pp(layer_idx),
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)?;
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let in_c = if layer_idx == 0 {
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cfg.mel_n_channels
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} else {
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cfg.model_hidden_size
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};
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let lstm = candle_nn::lstm(in_c, cfg.model_hidden_size, c, vb_l.clone())?;
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lstms.push(lstm)
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}
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let linear = linear_b(
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@ -143,7 +143,7 @@ pub mod speaker_encoder {
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.iter()
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.flat_map(|s| [mel[s.0], mel[s.1]])
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.collect::<Vec<_>>();
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let mels = Tensor::from_vec(mels, (mel_slices.len(), 2), device)?;
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let mels = Tensor::from_vec(mels, (1, mel_slices.len(), 2), device)?;
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let partial_embeds = self.forward(&mels)?;
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let raw_embed = partial_embeds.mean(0)?;
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let norm = raw_embed.sqr()?.sum_all()?.sqrt()?;
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