JP5782459B2 - 音声−体識別の相関 - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
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- A63F13/213—Input arrangements for video game devices characterised by their sensors, purposes or types comprising photodetecting means, e.g. cameras, photodiodes or infrared cells
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
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- G10L21/0208—Noise filtering
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Description
[0028] TDOA技法は、更に、判定されたTDOAデーターおよびマイクロフォン・アレイの幾何学的形状を使用して、音源の位置を推定する第2ステップを含む。この第2ステップは、種々の既知の方法によって実行することができ、例えば、最大尤度法、三角測量法、球交差法(spherical intersection method)、および球補間法が含まれる。
Claims (12)
- 未知の1組のユーザ(A〜D)から開始するマルチユーザ・アプリケーションにおいて、ユーザとユーザ音声との間における相関を識別する方法であって、
(a)複数の時間期間にわたって、ビデオ・キャプチャー・コンポーネントの視野内において撮影された複数の物体の画像(A’〜D’)を受け取るステップと、
(b)前記ステップ(a)において受け取った前記画像が一人以上のユーザを含むか否か判定を行うステップと、
(c)複数の時間期間において、マイクロフォン・アレイのレンジ内で音を受け取るステップと、
(d)前記ステップ(c)において受け取った音が1つ以上の人間の音声を含むか否か判定を行うステップと、
(e)異なる画像において判定されたユーザの位置の複数のサンプリング、および異なる時点における前記音声の決定された発生源位置に基づいて、前記ステップ(d)において識別した音声を、前記視野内にいる前記一人以上のユーザ(A〜D)の内一人のユーザに相関付けるステップと、
を含み、
前記ステップ(e)が、前記音声と前記ユーザとの間における関連付けの信頼レベルを得るために、前記複数のサンプリングの内第1サンプリングを実行するステップを含み、予め定められたしきい値よりも高い信頼レベルが、前記音声および前記ユーザがメモリーにおいて互いに関連付けをもたらし、
前記ステップ(e)が、前記複数のサンプリングの内後続のサンプリングにおいて、前記音声が属する可能性があるユーザ数が減少した場合、前記後続のサンプリングにおいて前記信頼レベルを高くするステップを含む、
方法。 - 請求項1記載の方法において、前記ステップ(e)が、前記複数のサンプリングの内1つのサンプリングを、前記複数の画像の内の1つの画像の検査から前記一人以上のユーザの位置を判定することによって形成し、音発生源定位技法を使用して前記音声の位置を判定することによって形成するステップを含む、方法。
- 請求項1記載の方法であって、更に、前記複数のサンプリングにおいて前記音声が属する可能性がある他の全てのユーザを排除したときに、前記音声を1人のユーザに明確に相関付けるステップを含む、方法。
- 請求項3記載の方法であって、更に、前記音声と前記ユーザとの間における相関が、明確に互いに関連付けられた後に、前記複数のサンプリングにおいて追加のサンプリングを実行するステップを含む、方法。
- 請求項1記載の方法であって、更に、前記追加のサンプリングにおいて、前記音声がどのユーザに属するのかに関する曖昧さを除去することができない場合、または前記追加のサンプリングにおいて、前記音声が前記一人以上のユーザの内第2ユーザに属することを示す場合、前記相関を除去するステップを含む、方法。
- 未知の1組のユーザ(A〜D)から開始するマルチユーザ・アプリケーションにおいて、ユーザとユーザ音声との間における相関を識別する方法であって、
(a)複数の時間期間にわたって、ビデオ・キャプチャー・コンポーネントの視野内において撮影された複数の物体の画像(A’〜D’)を受け取るステップと、
(b)前記ステップ(a)において受け取った前記画像が一人以上のユーザを含むか否か判定を行うステップと、
(c)複数の時間期間において、マイクロフォン・アレイのレンジ内で音を受け取るステップと、
(d)前記ステップ(c)において受け取った音が1つ以上の人間の音声を含むか否か判定を行うステップと、
(e)異なる画像において判定されたユーザの位置の複数のサンプリング、および異なる時点における前記音声の決定された発生源位置に基づいて、前記ステップ(d)において識別した音声を、前記視野内にいる前記一人以上のユーザ(A〜D)の内一人のユーザに相関付けるステップと、
を含み、
前記ステップ(e)が、前記音声とユーザとの間における関連付けの採点された信頼レベルを導くために、前記複数のサンプリングの内第1サンプリングを実行するステップを含み、前記採点された信頼レベルが、
i.前記音声発生源の推定位置が前記一人以上のユーザにどれだけ近いか、
ii.聞かれた音声の数、
iii.前記一人以上のユーザの、前記音声の推定発生源までの近接度、
iv.前記音声の発生源が、前記画像の視野内の中心に位置すると推定されるか、または前記視野のエッジの方に近いと推定されるか、
のファクターの内1つ以上を検査することによって得られる、方法。 - 請求項1又は6に記載の方法において、前記ステップ(a)において受け取った画像が一人以上のユーザを含むか否か判定を行う前記ステップ(b)が、前記ユーザの骨格関節の少なくとも一部の位置を測定するステップを含む、方法。
- 請求項7記載の方法において、前記音声の決定された発生源位置に少なくとも部分的に基づいて、前記ステップ(d)において識別した音声をユーザに相関付けるステップ(e)が、到達時間差によって、音声の発生源位置を判定するステップを含む、方法。
- マルチユーザ・アプリケーションにおいて音声をユーザ(A〜D)に相関付けるシステムであって、
撮像カメラ・コンポーネントであって、該撮像カメラ・コンポーネントの視野内にいる一人以上のユーザ(A〜D)の深度画像を供給することができる、撮像カメラ・コンポーネントと、
マイクロフォン・アレイであって、該マイクロフォン・アレイのレンジ内において音を受け取ることができ、第1許容範囲内で音声の発生源を定位することができる、マイクロフォン・アレイと、
前記画像キャプチャー・コンポーネントおよびマイクロフォン・アレイ双方と通信可能な計算環境であって、前記計算環境が、前記視野内にいる異なるユーザ間で、第2許容範囲までで区別することができ、
前記計算環境が、
(a)音声のソースが、前記第1許容範囲内にあるものと定位すること、及び、
(b)前記第2許容範囲内で、前記視野内の異なったユーザ同士を区別すること、
に基づいて、前記撮像カメラからのデーターおよび前記マイクロフォン・アレイからのデーターの初期サンプリングの後、前記音声と前記一人以上のユーザの内一人のユーザとの相関を防止することができ、
前記計算環境が、更に、前記撮像カメラからのデーターおよび前記マイクロフォン・アレイからのデーターの追加サンプリングを実行し、前記追加サンプリングによって、前記音声の前記ユーザとの相関を可能とし、または前記追加サンプリングが、前記音声が前記ユーザに相関付けられる尤度を低下させる、計算環境と、
を含み、更に、
前記音声と前記ユーザとの間における関連付けの信頼レベルを得るために、前記複数のサンプリングの内第1サンプリングを実行するステップであって、予め定められたしきい値よりも高い信頼レベルが、前記音声および前記ユーザがメモリーにおいて互いに関連付けをもたらすものと、
前記複数のサンプリングの内後続のサンプリングにおいて、前記音声が属する可能性があるユーザ数が減少した場合、前記後続のサンプリングにおいて前記信頼レベルを高くするステップを含む、
システム。 - 請求項9記載のシステムにおいて、前記計算環境が、前記初期および追加サンプリングを実行しながら、前記一人以上のユーザが関与するゲーミング・アプリケーションを実行する、システム。
- 請求項9記載のシステムにおいて、前記計算環境が、前記一人以上のユーザの関節位置を検出することによって、前記視野内において異なるユーザ間で区別する、方法。
- 請求項11記載のシステムにおいて、前記マイクロフォン・アレイが、2つのマイクロフォンを使用して、これら2つのマイクロフォンまでの前記音声の到達時間差によって、前記音声の発生源を定位する、システム。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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US12/692,797 | 2010-01-25 | ||
US12/692,797 US8265341B2 (en) | 2010-01-25 | 2010-01-25 | Voice-body identity correlation |
PCT/US2011/020396 WO2011090829A2 (en) | 2010-01-25 | 2011-01-06 | Voice-body identity correlation |
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JP2013519135A JP2013519135A (ja) | 2013-05-23 |
JP5782459B2 true JP5782459B2 (ja) | 2015-09-24 |
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US (2) | US8265341B2 (ja) |
EP (1) | EP2529355B1 (ja) |
JP (1) | JP5782459B2 (ja) |
KR (1) | KR101765970B1 (ja) |
CN (1) | CN102135882B (ja) |
CA (1) | CA2786681C (ja) |
HK (1) | HK1177041A1 (ja) |
WO (1) | WO2011090829A2 (ja) |
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EP2529355A2 (en) | 2012-12-05 |
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WO2011090829A3 (en) | 2011-11-10 |
HK1177041A1 (en) | 2013-08-09 |
US8781156B2 (en) | 2014-07-15 |
KR20120116446A (ko) | 2012-10-22 |
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CA2786681C (en) | 2016-11-29 |
US20110182481A1 (en) | 2011-07-28 |
CN102135882A (zh) | 2011-07-27 |
CA2786681A1 (en) | 2011-07-28 |
KR101765970B1 (ko) | 2017-08-07 |
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