osobhandClaude Opus 4.7
a5cedfb46a
8-gen bench (4 emotions × 2 corpora) at seed=42 against firdhokk Whisper-LV3: target RAVDESS CREMA-D happy happy (0.999) ✓ happy (0.999) ✓ angry neutral (0.92) sad (0.99) fearful happy (0.998) fearful (0.984) ✓ sad angry (0.99) fearful (0.99) CREMA-D 2/4 vs RAVDESS 1/4. Larger / more naturalistic corpus produces more class-pure fearful direction. Neither corpus solves angry or sad — recipe shifts into 'vague expressivity' rather than class-specific corners. Practical: prefer CREMA-D when available; A/B both per emotion if class precision matters. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
59 lines
1.9 KiB
Rust
59 lines
1.9 KiB
Rust
//! Phase 8.1.3 follow-up: build a 10 s WAV that is 50% silence + 50%
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//! real speech so we can verify the energy VAD gate actually skips
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//! silence. The standard /tmp/asr_test.flac is ~90% speech, which
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//! masks the structural VAD win.
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//!
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//! Output: /tmp/asr_silence_heavy.wav (10 s @ 24 kHz mono).
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//!
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//! Layout: 1 s silence, 4 s speech, 2 s silence, 3 s silence (total
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//! 5 s silence + 5 s speech). Speech is taken from the start of the
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//! input WAV.
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//!
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//! Usage:
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//! ```bash
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//! cargo run -p rtx-csm --release --example make_silence_test -- \
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//! --in /tmp/asr_test.flac --out /tmp/asr_silence_heavy.wav
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//! ```
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use anyhow::{Context, Result};
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use clap::Parser;
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use rtx_csm::audio_io;
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use std::path::PathBuf;
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const SR: u32 = 24_000;
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#[derive(Debug, Parser)]
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struct Cli {
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#[arg(long = "in", default_value = "/tmp/asr_test.flac")]
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input: PathBuf,
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#[arg(long, default_value = "/tmp/asr_silence_heavy.wav")]
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out: PathBuf,
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}
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fn main() -> Result<()> {
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let cli = Cli::parse();
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let speech = audio_io::load_mono_at_rate(&cli.input, SR).context("load speech")?;
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eprintln!(
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"loaded speech: {} samples ({:.2}s)",
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speech.len(),
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speech.len() as f32 / SR as f32
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);
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// Build: 1s silence | 4s speech | 2s silence | 3s silence (= 5s+5s).
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let mut out: Vec<f32> = Vec::with_capacity(SR as usize * 10);
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out.extend(std::iter::repeat(0.0f32).take(SR as usize)); // 1 s
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let speech_4s = (SR as usize * 4).min(speech.len());
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out.extend_from_slice(&speech[..speech_4s]); // 4 s
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out.extend(std::iter::repeat(0.0f32).take(SR as usize * 2)); // 2 s
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out.extend(std::iter::repeat(0.0f32).take(SR as usize * 3)); // 3 s
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audio_io::write_wav_mono(cli.out.as_path(), &out, SR).context("write wav")?;
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eprintln!(
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"wrote {} ({} samples = {:.2}s, ~50% silence + 50% speech)",
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cli.out.display(),
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out.len(),
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out.len() as f32 / SR as f32
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);
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Ok(())
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}
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