Add an append-only streaming path that feeds each audio chunk as a new conversation turn, so nothing is ever recomputed: the KV grows by append, no prefix is re-decoded and no audio is re-encoded. Per-step cost becomes flat instead of growing with the segment (RTF 1.06 -> 0.26 on 62.6s of continuous speech), but accuracy requires ~8s chunks because the audio encoder needs its 8s attention window, so text only appears every 8s. The incremental mode stays the default. 新增追加式流式:每块音频作为一个新的对话轮追加,前缀不重算、旧音频不重 编码,单步成本不再随段落增长(连续 62.6s 语音 RTF 从 1.06 降到 0.26)。 但准确率要求 chunk≈8s,否则会被截断,所以出字粒度是 8s;增量式仍为默认。
202 lines
6.9 KiB
C++
202 lines
6.9 KiB
C++
#include <QtTest>
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#include <string>
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#include <vector>
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#include "fakeasr.h"
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#include "streamingasr.h"
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namespace {
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std::vector<float> chunk(size_t samples, float value = 0.1f)
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{
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return std::vector<float>(samples, value);
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}
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QString q(const std::string & s) { return QString::fromStdString(s); }
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} // namespace
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// 流式策略的回归测试(用 FakeAsr,不加载真模型)。
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class TstStreamingAsr : public QObject {
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Q_OBJECT
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private:
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static lc::StreamOptions baseOptions()
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{
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lc::StreamOptions o;
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o.chunkSec = 1.0; // 1s 一块,方便构造
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o.unfixedTokenNum = 1; // 回滚 1 个 token,断言更直观
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o.unfixedChunkNum = 0; // 默认就回喂前缀
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o.incremental = true;
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return o;
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}
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private slots:
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// 冷启动阶段(前 unfixedChunkNum 块)不回喂前缀
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void coldStartHasNoPrefix()
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{
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FakeAsr fake;
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fake.scripted = {"a b c d", "e f", "g h"};
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lc::StreamOptions o = baseOptions();
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o.unfixedChunkNum = 2;
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lc::StreamingAsr stream(fake, o);
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const auto cb = [](const lc::StreamingAsr::Step &) {};
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const auto c = chunk(16000);
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stream.feed(c.data(), c.size(), cb);
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stream.feed(c.data(), c.size(), cb);
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stream.feed(c.data(), c.size(), cb);
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QCOMPARE(fake.prefixesSeen.size(), size_t(3));
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QCOMPARE(q(fake.prefixesSeen[0]), QString(""));
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QCOMPARE(q(fake.prefixesSeen[1]), QString(""));
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QVERIFY(!fake.prefixesSeen[2].empty());
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}
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// 续写开头那个空格不能被吃掉。
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// 曾经用 trim 过的文本去拼接,导致 "potatoesand" 这种缺空格。
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void keepsJoiningSpace()
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{
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FakeAsr fake;
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fake.scripted = {"language English<asr_text>He hoped there",
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" would be stew"};
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lc::StreamingAsr stream(fake, baseOptions());
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std::vector<lc::StreamingAsr::Step> steps;
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const auto cb = [&steps](const lc::StreamingAsr::Step & s) { steps.push_back(s); };
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const auto c = chunk(16000);
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stream.feed(c.data(), c.size(), cb);
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stream.feed(c.data(), c.size(), cb);
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QCOMPARE(steps.size(), size_t(2));
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QCOMPARE(q(steps[0].full), QString("He hoped there"));
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QVERIFY2(q(steps[1].full) == QString("He hoped would be stew"),
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qPrintable(QString("实际为 \"%1\"").arg(q(steps[1].full))));
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}
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// 已提交文本 = 完整文本去掉最后 unfixedTokenNum 个 token;
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// 尾部单独作为不稳定部分给出。
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void committedDropsUnstableTail()
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{
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FakeAsr fake;
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fake.scripted = {"language English<asr_text>He hoped there",
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" would be stew"};
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lc::StreamingAsr stream(fake, baseOptions());
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std::vector<lc::StreamingAsr::Step> steps;
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const auto cb = [&steps](const lc::StreamingAsr::Step & s) { steps.push_back(s); };
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const auto c = chunk(16000);
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stream.feed(c.data(), c.size(), cb);
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stream.feed(c.data(), c.size(), cb);
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QCOMPARE(q(steps[1].committed), QString("He hoped would be"));
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QCOMPARE(q(steps[1].tail), QString(" stew"));
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// 已提交 + 尾部 = 完整文本
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QCOMPARE(q(steps[1].committed + steps[1].tail), q(steps[1].full));
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}
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// 流结束时要全部提交,不能把尾部丢掉
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void flushCommitsEverything()
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{
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FakeAsr fake;
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fake.scripted = {"language English<asr_text>one two three"};
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lc::StreamOptions o = baseOptions();
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o.chunkSec = 100.0; // 特意设大:让音频留在 pending 里,由 flush 处理
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lc::StreamingAsr stream(fake, o);
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std::vector<lc::StreamingAsr::Step> steps;
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const auto cb = [&steps](const lc::StreamingAsr::Step & s) { steps.push_back(s); };
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const auto c = chunk(16000);
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stream.feed(c.data(), c.size(), cb);
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QCOMPARE(steps.size(), size_t(0)); // 还没凑够一块
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stream.flush(cb);
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QCOMPARE(steps.size(), size_t(1));
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QCOMPARE(q(steps[0].committed), QString("one two three"));
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QVERIFY(steps[0].tail.empty());
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}
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// 多段:每段各自的 language 头都要剥掉,前面几段的正文不能丢。
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// 曾经用整段拼接后再解析,rfind 只保留最后一个头之后的内容,前面的正文全没了。
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void segmentsAccumulateWithoutLosingEarlierText()
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{
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FakeAsr fake;
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fake.scripted = {"language Chinese<asr_text>ni hao shi jie",
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" language English<asr_text> hello there world"};
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lc::StreamOptions o = baseOptions();
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o.chunkSec = 1.0;
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lc::StreamingAsr stream(fake, o);
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const auto cb = [](const lc::StreamingAsr::Step &) {};
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const auto c = chunk(16000);
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stream.feed(c.data(), c.size(), cb); // 第 1 段
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stream.flush(cb); // 收束第 1 段
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stream.feed(c.data(), c.size(), cb); // 第 2 段
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stream.flush(cb);
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const QString all = q(stream.committedText());
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QVERIFY2(all.contains("ni hao"), qPrintable(all));
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QVERIFY2(all.contains("hello there world"), qPrintable(all));
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}
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// 追加式:每块音频作为新一轮追加,文本立即定稿,不回喂任何前缀
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void appendModeCommitsEachChunkImmediately()
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{
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FakeAsr fake;
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fake.scripted = {"language English<asr_text>one two",
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" language English<asr_text> three four"};
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lc::StreamOptions o = baseOptions();
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o.appendOnly = true;
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lc::StreamingAsr stream(fake, o);
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std::vector<lc::StreamingAsr::Step> steps;
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const auto cb = [&steps](const lc::StreamingAsr::Step & s) { steps.push_back(s); };
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const auto c = chunk(16000);
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stream.feed(c.data(), c.size(), cb);
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stream.feed(c.data(), c.size(), cb);
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QCOMPARE(fake.turnsSeen.size(), size_t(2));
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QVERIFY2(fake.prefixesSeen.empty(), "追加式不应该回喂前缀");
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QCOMPARE(steps.size(), size_t(2));
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QCOMPARE(q(steps[0].committed), QString("one two"));
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QVERIFY(steps[0].tail.empty()); // 追加式没有"不稳定尾部"
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QVERIFY(q(steps[1].committed).contains("three four"));
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}
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// 同一次 feed 里跨多块也要正确切分
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void splitsMultipleChunksInOneFeed()
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{
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FakeAsr fake;
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fake.scripted = {"a b c", "d e f", "g h i"};
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lc::StreamOptions o = baseOptions();
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lc::StreamingAsr stream(fake, o);
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int steps = 0;
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const auto cb = [&steps](const lc::StreamingAsr::Step &) { ++steps; };
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const auto c = chunk(16000 * 3);
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stream.feed(c.data(), c.size(), cb);
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QCOMPARE(steps, 3);
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QCOMPARE(fake.samplesSeen.size(), size_t(3));
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for (size_t n : fake.samplesSeen) QCOMPARE(n, size_t(16000));
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}
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};
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QTEST_MAIN(TstStreamingAsr)
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#include "tst_streamingasr.moc"
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